MNIST-AIR-__PGD____FGSM____None__.log

[2025-02-21 19:26:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] === Configuration ===
[2025-02-21 19:26:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Config(seed=42, device='cuda', epochs=50, batch_size=128, learning_rate=0.01, momentum=0.9, weight_decay=0.0005, epsilon=0.3, alpha=0.01, num_steps=40, random_init=True, defense_method='AIR', lambda_SD=1.0, lambda_IR=1.0, lambda_AR=1.0, lambda_Reg=1.0, alpha_range=(0.3, 0.7), use_rdrop=True, iso_noise_std=0.01, iso_clamp_min=-3, iso_clamp_max=3, iso_p_flip=0.5, iso_flip_dim=3, iso_p_rotation=0.5, iso_max_rotation=10, iso_p_crop=0.5, iso_p_erase=0.5, dataset='MNIST', data_root='./data', num_workers=2, lambda_lfl=1.0, feature_lambda=1.0, freeze_classifier=True, joint_lambda=0.5, adv_lambda=0.8, feat_lambda=1.0, lambda_ewc=100.0, attack_sequence=('PGD', 'FGSM', 'None'))
[2025-02-21 19:26:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] --- Task 1 / 3: Attack = PGD ---
[2025-02-21 19:26:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Using AIR Defense...
[2025-02-21 19:26:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.3030
[2025-02-21 19:26:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.2487
[2025-02-21 19:27:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.0937
[2025-02-21 19:27:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9534
[2025-02-21 19:27:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.0548
[2025-02-21 19:27:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [1/50] - Train Loss: 2.0847
[2025-02-21 19:27:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 58.53%
[2025-02-21 19:27:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9377
[2025-02-21 19:28:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.0550
[2025-02-21 19:28:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.0549
[2025-02-21 19:28:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.0238
[2025-02-21 19:29:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9843
[2025-02-21 19:29:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [2/50] - Train Loss: 2.0006
[2025-02-21 19:29:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 59.56%
[2025-02-21 19:29:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9845
[2025-02-21 19:29:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.0079
[2025-02-21 19:29:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9136
[2025-02-21 19:30:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9142
[2025-02-21 19:30:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9219
[2025-02-21 19:30:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [3/50] - Train Loss: 1.9907
[2025-02-21 19:30:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 66.49%
[2025-02-21 19:30:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9292
[2025-02-21 19:30:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9293
[2025-02-21 19:31:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8832
[2025-02-21 19:31:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8831
[2025-02-21 19:31:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9223
[2025-02-21 19:32:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [4/50] - Train Loss: 1.9065
[2025-02-21 19:32:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 68.79%
[2025-02-21 19:32:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9298
[2025-02-21 19:32:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9143
[2025-02-21 19:32:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8677
[2025-02-21 19:32:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8821
[2025-02-21 19:33:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9298
[2025-02-21 19:33:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [5/50] - Train Loss: 1.9021
[2025-02-21 19:33:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 67.67%
[2025-02-21 19:33:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8829
[2025-02-21 19:33:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9219
[2025-02-21 19:34:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8359
[2025-02-21 19:34:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9218
[2025-02-21 19:34:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8750
[2025-02-21 19:34:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [6/50] - Train Loss: 1.9054
[2025-02-21 19:34:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.16%
[2025-02-21 19:34:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8827
[2025-02-21 19:35:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9140
[2025-02-21 19:35:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9378
[2025-02-21 19:35:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9296
[2025-02-21 19:35:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9299
[2025-02-21 19:36:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [7/50] - Train Loss: 1.9011
[2025-02-21 19:36:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 68.52%
[2025-02-21 19:36:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9689
[2025-02-21 19:36:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8828
[2025-02-21 19:36:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9145
[2025-02-21 19:37:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8750
[2025-02-21 19:37:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8360
[2025-02-21 19:37:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [8/50] - Train Loss: 1.8942
[2025-02-21 19:37:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 67.71%
[2025-02-21 19:37:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8984
[2025-02-21 19:37:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9527
[2025-02-21 19:38:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9144
[2025-02-21 19:38:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9693
[2025-02-21 19:38:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8979
[2025-02-21 19:38:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [9/50] - Train Loss: 1.9088
[2025-02-21 19:38:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 67.77%
[2025-02-21 19:38:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9142
[2025-02-21 19:39:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9068
[2025-02-21 19:39:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9067
[2025-02-21 19:39:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9453
[2025-02-21 19:40:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8753
[2025-02-21 19:40:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [10/50] - Train Loss: 1.9015
[2025-02-21 19:40:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.01%
[2025-02-21 19:40:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8754
[2025-02-21 19:40:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9847
[2025-02-21 19:40:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9298
[2025-02-21 19:41:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9762
[2025-02-21 19:41:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9692
[2025-02-21 19:41:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [11/50] - Train Loss: 1.9056
[2025-02-21 19:41:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 67.91%
[2025-02-21 19:41:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9296
[2025-02-21 19:42:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8676
[2025-02-21 19:42:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9222
[2025-02-21 19:42:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9532
[2025-02-21 19:42:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9142
[2025-02-21 19:43:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [12/50] - Train Loss: 1.9042
[2025-02-21 19:43:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.08%
[2025-02-21 19:43:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9291
[2025-02-21 19:43:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9378
[2025-02-21 19:43:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8363
[2025-02-21 19:44:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8281
[2025-02-21 19:44:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8909
[2025-02-21 19:44:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [13/50] - Train Loss: 1.8919
[2025-02-21 19:44:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.23%
[2025-02-21 19:44:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8126
[2025-02-21 19:44:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9454
[2025-02-21 19:45:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9058
[2025-02-21 19:45:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8753
[2025-02-21 19:45:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8675
[2025-02-21 19:45:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [14/50] - Train Loss: 1.8943
[2025-02-21 19:45:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 68.91%
[2025-02-21 19:45:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8357
[2025-02-21 19:46:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8519
[2025-02-21 19:46:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8442
[2025-02-21 19:46:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9062
[2025-02-21 19:47:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8675
[2025-02-21 19:47:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [15/50] - Train Loss: 1.8937
[2025-02-21 19:47:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.39%
[2025-02-21 19:47:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9067
[2025-02-21 19:47:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9061
[2025-02-21 19:47:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8286
[2025-02-21 19:48:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9379
[2025-02-21 19:48:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9536
[2025-02-21 19:48:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [16/50] - Train Loss: 1.8897
[2025-02-21 19:48:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.87%
[2025-02-21 19:48:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9295
[2025-02-21 19:48:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8363
[2025-02-21 19:49:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8671
[2025-02-21 19:49:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9293
[2025-02-21 19:49:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9064
[2025-02-21 19:50:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [17/50] - Train Loss: 1.8936
[2025-02-21 19:50:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.44%
[2025-02-21 19:50:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8748
[2025-02-21 19:50:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8285
[2025-02-21 19:50:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.0002
[2025-02-21 19:50:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8989
[2025-02-21 19:51:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9146
[2025-02-21 19:51:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [18/50] - Train Loss: 1.8931
[2025-02-21 19:51:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.88%
[2025-02-21 19:51:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8986
[2025-02-21 19:51:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8745
[2025-02-21 19:52:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9143
[2025-02-21 19:52:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8911
[2025-02-21 19:52:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8363
[2025-02-21 19:52:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [19/50] - Train Loss: 1.8851
[2025-02-21 19:52:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.02%
[2025-02-21 19:52:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9140
[2025-02-21 19:53:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9301
[2025-02-21 19:53:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8984
[2025-02-21 19:53:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8518
[2025-02-21 19:54:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9065
[2025-02-21 19:54:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [20/50] - Train Loss: 1.8866
[2025-02-21 19:54:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.72%
[2025-02-21 19:54:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8517
[2025-02-21 19:54:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8827
[2025-02-21 19:54:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8595
[2025-02-21 19:55:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8593
[2025-02-21 19:55:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8667
[2025-02-21 19:55:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [21/50] - Train Loss: 1.8843
[2025-02-21 19:55:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.40%
[2025-02-21 19:55:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8279
[2025-02-21 19:55:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8752
[2025-02-21 19:56:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8672
[2025-02-21 19:56:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8753
[2025-02-21 19:56:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9683
[2025-02-21 19:57:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [22/50] - Train Loss: 1.8830
[2025-02-21 19:57:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.49%
[2025-02-21 19:57:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8590
[2025-02-21 19:57:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9059
[2025-02-21 19:57:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8204
[2025-02-21 19:57:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8826
[2025-02-21 19:58:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8520
[2025-02-21 19:58:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [23/50] - Train Loss: 1.8828
[2025-02-21 19:58:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.03%
[2025-02-21 19:58:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8669
[2025-02-21 19:58:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9525
[2025-02-21 19:59:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8428
[2025-02-21 19:59:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8907
[2025-02-21 19:59:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8907
[2025-02-21 19:59:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [24/50] - Train Loss: 1.8833
[2025-02-21 19:59:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 69.81%
[2025-02-21 19:59:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8754
[2025-02-21 20:00:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8742
[2025-02-21 20:00:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8666
[2025-02-21 20:00:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8753
[2025-02-21 20:01:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8361
[2025-02-21 20:01:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [25/50] - Train Loss: 1.8801
[2025-02-21 20:01:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.32%
[2025-02-21 20:01:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9372
[2025-02-21 20:01:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8747
[2025-02-21 20:01:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8747
[2025-02-21 20:02:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8510
[2025-02-21 20:02:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8433
[2025-02-21 20:02:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [26/50] - Train Loss: 1.8802
[2025-02-21 20:02:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.51%
[2025-02-21 20:02:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8358
[2025-02-21 20:03:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8740
[2025-02-21 20:03:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8513
[2025-02-21 20:03:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9218
[2025-02-21 20:03:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8437
[2025-02-21 20:04:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [27/50] - Train Loss: 1.8790
[2025-02-21 20:04:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.38%
[2025-02-21 20:04:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9063
[2025-02-21 20:04:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8987
[2025-02-21 20:04:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8596
[2025-02-21 20:05:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9370
[2025-02-21 20:05:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9141
[2025-02-21 20:05:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [28/50] - Train Loss: 1.8788
[2025-02-21 20:05:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.51%
[2025-02-21 20:05:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8979
[2025-02-21 20:05:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8435
[2025-02-21 20:06:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8440
[2025-02-21 20:06:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8586
[2025-02-21 20:06:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8506
[2025-02-21 20:07:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [29/50] - Train Loss: 1.8795
[2025-02-21 20:07:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.43%
[2025-02-21 20:07:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8981
[2025-02-21 20:07:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8585
[2025-02-21 20:07:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8277
[2025-02-21 20:07:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8355
[2025-02-21 20:08:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8195
[2025-02-21 20:08:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [30/50] - Train Loss: 1.8780
[2025-02-21 20:08:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.48%
[2025-02-21 20:08:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8827
[2025-02-21 20:08:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.9142
[2025-02-21 20:09:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8587
[2025-02-21 20:09:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.9127
[2025-02-21 20:09:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9221
[2025-02-21 20:09:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [31/50] - Train Loss: 1.8773
[2025-02-21 20:09:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.51%
[2025-02-21 20:09:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8124
[2025-02-21 20:10:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8282
[2025-02-21 20:10:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8828
[2025-02-21 20:10:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8674
[2025-02-21 20:11:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8986
[2025-02-21 20:11:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [32/50] - Train Loss: 1.8770
[2025-02-21 20:11:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.55%
[2025-02-21 20:11:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.9132
[2025-02-21 20:11:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8670
[2025-02-21 20:11:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8321
[2025-02-21 20:12:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8891
[2025-02-21 20:12:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9733
[2025-02-21 20:12:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [33/50] - Train Loss: 1.8763
[2025-02-21 20:12:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.33%
[2025-02-21 20:12:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8740
[2025-02-21 20:13:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.8431
[2025-02-21 20:13:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.9054
[2025-02-21 20:13:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8347
[2025-02-21 20:13:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.9064
[2025-02-21 20:14:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [34/50] - Train Loss: 1.8779
[2025-02-21 20:14:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.69%
[2025-02-21 20:14:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8973
[2025-02-21 20:14:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7812
[2025-02-21 20:14:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8435
[2025-02-21 20:15:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8203
[2025-02-21 20:15:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8666
[2025-02-21 20:15:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [35/50] - Train Loss: 1.8763
[2025-02-21 20:15:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 70.58%
[2025-02-21 20:15:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8202
[2025-02-21 20:15:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7802
[2025-02-21 20:16:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8431
[2025-02-21 20:16:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7807
[2025-02-21 20:16:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7661
[2025-02-21 20:17:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [36/50] - Train Loss: 1.8210
[2025-02-21 20:17:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 80.06%
[2025-02-21 20:17:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8045
[2025-02-21 20:17:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7814
[2025-02-21 20:17:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.7650
[2025-02-21 20:17:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7569
[2025-02-21 20:18:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7724
[2025-02-21 20:18:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [37/50] - Train Loss: 1.7821
[2025-02-21 20:18:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 80.39%
[2025-02-21 20:18:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.7972
[2025-02-21 20:18:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7642
[2025-02-21 20:19:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8043
[2025-02-21 20:19:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7174
[2025-02-21 20:19:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7962
[2025-02-21 20:19:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [38/50] - Train Loss: 1.7790
[2025-02-21 20:19:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 80.38%
[2025-02-21 20:19:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.7733
[2025-02-21 20:20:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7807
[2025-02-21 20:20:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.7892
[2025-02-21 20:20:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7873
[2025-02-21 20:21:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7171
[2025-02-21 20:21:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [39/50] - Train Loss: 1.7793
[2025-02-21 20:21:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 80.38%
[2025-02-21 20:21:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.7882
[2025-02-21 20:21:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7963
[2025-02-21 20:21:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.7494
[2025-02-21 20:22:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.8107
[2025-02-21 20:22:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7556
[2025-02-21 20:22:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [40/50] - Train Loss: 1.7783
[2025-02-21 20:22:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 80.34%
[2025-02-21 20:22:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8125
[2025-02-21 20:23:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7426
[2025-02-21 20:23:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8901
[2025-02-21 20:23:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7715
[2025-02-21 20:23:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.8428
[2025-02-21 20:24:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [41/50] - Train Loss: 1.7819
[2025-02-21 20:24:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 79.74%
[2025-02-21 20:24:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.8040
[2025-02-21 20:24:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6717
[2025-02-21 20:24:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6405
[2025-02-21 20:25:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7016
[2025-02-21 20:25:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.7258
[2025-02-21 20:25:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [42/50] - Train Loss: 1.7088
[2025-02-21 20:25:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 89.78%
[2025-02-21 20:25:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.6928
[2025-02-21 20:25:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.7246
[2025-02-21 20:26:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6717
[2025-02-21 20:26:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.6638
[2025-02-21 20:26:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6695
[2025-02-21 20:26:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [43/50] - Train Loss: 1.6873
[2025-02-21 20:26:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 89.00%
[2025-02-21 20:26:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.6975
[2025-02-21 20:27:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6270
[2025-02-21 20:27:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6551
[2025-02-21 20:27:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.6016
[2025-02-21 20:28:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6414
[2025-02-21 20:28:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [44/50] - Train Loss: 1.6464
[2025-02-21 20:28:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 97.70%
[2025-02-21 20:28:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5966
[2025-02-21 20:28:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5975
[2025-02-21 20:29:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5856
[2025-02-21 20:29:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5830
[2025-02-21 20:29:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5824
[2025-02-21 20:29:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [45/50] - Train Loss: 1.5949
[2025-02-21 20:29:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.04%
[2025-02-21 20:29:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5759
[2025-02-21 20:30:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6244
[2025-02-21 20:30:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5626
[2025-02-21 20:30:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5398
[2025-02-21 20:30:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6091
[2025-02-21 20:31:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [46/50] - Train Loss: 1.5888
[2025-02-21 20:31:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 97.70%
[2025-02-21 20:31:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5790
[2025-02-21 20:31:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5929
[2025-02-21 20:31:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5760
[2025-02-21 20:32:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.6005
[2025-02-21 20:32:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6016
[2025-02-21 20:32:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [47/50] - Train Loss: 1.5893
[2025-02-21 20:32:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.25%
[2025-02-21 20:32:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.6016
[2025-02-21 20:32:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6165
[2025-02-21 20:33:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6250
[2025-02-21 20:33:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.6502
[2025-02-21 20:33:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6283
[2025-02-21 20:34:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [48/50] - Train Loss: 1.6521
[2025-02-21 20:34:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 94.80%
[2025-02-21 20:34:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.6407
[2025-02-21 20:34:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6171
[2025-02-21 20:34:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.8124
[2025-02-21 20:34:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.6249
[2025-02-21 20:35:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.6957
[2025-02-21 20:35:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [49/50] - Train Loss: 1.7309
[2025-02-21 20:35:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 81.95%
[2025-02-21 20:35:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.7658
[2025-02-21 20:35:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.6872
[2025-02-21 20:36:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6486
[2025-02-21 20:36:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7183
[2025-02-21 20:36:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.0706
[2025-02-21 20:36:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [50/50] - Train Loss: 1.8050
[2025-02-21 20:36:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 48.34%
[2025-02-21 20:36:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Model saved at: ./models/MNIST_AIR_PGD_task0.pt
[2025-02-21 20:36:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Accuracy after Task 1, Attack=PGD: 48.34%
[2025-02-21 20:37:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on PGD after Task 1: 47.05%
[2025-02-21 20:37:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on FGSM after Task 1: 47.19%
[2025-02-21 20:37:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on None after Task 1: 48.34%
[2025-02-21 20:37:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] --- Task 2 / 3: Attack = FGSM ---
[2025-02-21 20:37:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Using AIR Defense...
[2025-02-21 20:37:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.0706
[2025-02-21 20:37:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:37:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4533
[2025-02-21 20:37:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 20:37:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:37:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [1/50] - Train Loss: 2.4588
[2025-02-21 20:37:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:37:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5080
[2025-02-21 20:37:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 20:38:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 20:38:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4533
[2025-02-21 20:38:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 20:38:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [2/50] - Train Loss: 2.4797
[2025-02-21 20:38:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:38:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 20:38:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4767
[2025-02-21 20:38:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5002
[2025-02-21 20:38:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 20:39:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 20:39:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [3/50] - Train Loss: 2.4797
[2025-02-21 20:39:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:39:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4845
[2025-02-21 20:39:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 20:39:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5002
[2025-02-21 20:39:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:39:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4611
[2025-02-21 20:39:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [4/50] - Train Loss: 2.4797
[2025-02-21 20:39:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:39:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4455
[2025-02-21 20:39:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:40:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 20:40:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4299
[2025-02-21 20:40:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4455
[2025-02-21 20:40:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [5/50] - Train Loss: 2.4797
[2025-02-21 20:40:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:40:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5236
[2025-02-21 20:40:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4299
[2025-02-21 20:40:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5392
[2025-02-21 20:40:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 20:41:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 20:41:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [6/50] - Train Loss: 2.4797
[2025-02-21 20:41:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:41:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5080
[2025-02-21 20:41:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4924
[2025-02-21 20:41:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4533
[2025-02-21 20:41:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 20:41:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 20:41:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [7/50] - Train Loss: 2.4797
[2025-02-21 20:41:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:41:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 20:41:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5002
[2025-02-21 20:42:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4767
[2025-02-21 20:42:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5236
[2025-02-21 20:42:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:42:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [8/50] - Train Loss: 2.4797
[2025-02-21 20:42:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:42:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5158
[2025-02-21 20:42:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:42:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 20:42:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 20:43:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 20:43:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [9/50] - Train Loss: 2.4797
[2025-02-21 20:43:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:43:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4611
[2025-02-21 20:43:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 20:43:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 20:43:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 20:43:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5236
[2025-02-21 20:43:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [10/50] - Train Loss: 2.4797
[2025-02-21 20:43:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:43:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4845
[2025-02-21 20:43:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:44:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 20:44:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4455
[2025-02-21 20:44:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 20:44:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [11/50] - Train Loss: 2.4797
[2025-02-21 20:44:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:44:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4533
[2025-02-21 20:44:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4767
[2025-02-21 20:44:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5236
[2025-02-21 20:44:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:45:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 20:45:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [12/50] - Train Loss: 2.4797
[2025-02-21 20:45:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:45:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 20:45:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4611
[2025-02-21 20:45:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 20:45:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 20:45:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4533
[2025-02-21 20:45:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [13/50] - Train Loss: 2.4797
[2025-02-21 20:45:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:45:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 20:45:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:46:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4767
[2025-02-21 20:46:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:46:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5158
[2025-02-21 20:46:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [14/50] - Train Loss: 2.4797
[2025-02-21 20:46:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:46:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 20:46:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4767
[2025-02-21 20:46:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4924
[2025-02-21 20:46:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 20:47:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:47:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [15/50] - Train Loss: 2.4797
[2025-02-21 20:47:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:47:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4845
[2025-02-21 20:47:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4455
[2025-02-21 20:47:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 20:47:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4455
[2025-02-21 20:47:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5080
[2025-02-21 20:47:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [16/50] - Train Loss: 2.4797
[2025-02-21 20:47:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:47:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4377
[2025-02-21 20:47:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5002
[2025-02-21 20:48:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4220
[2025-02-21 20:48:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 20:48:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:48:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [17/50] - Train Loss: 2.4797
[2025-02-21 20:48:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:48:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 20:48:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5236
[2025-02-21 20:48:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4377
[2025-02-21 20:48:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 20:49:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:49:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [18/50] - Train Loss: 2.4797
[2025-02-21 20:49:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:49:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 20:49:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:49:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 20:49:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 20:49:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4455
[2025-02-21 20:49:50] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [19/50] - Train Loss: 2.4797
[2025-02-21 20:49:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:49:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 20:49:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4611
[2025-02-21 20:50:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 20:50:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 20:50:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4377
[2025-02-21 20:50:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [20/50] - Train Loss: 2.4797
[2025-02-21 20:50:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:50:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4455
[2025-02-21 20:50:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:50:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 20:50:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:51:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 20:51:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [21/50] - Train Loss: 2.4797
[2025-02-21 20:51:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:51:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 20:51:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4455
[2025-02-21 20:51:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5158
[2025-02-21 20:51:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 20:51:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4611
[2025-02-21 20:51:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [22/50] - Train Loss: 2.4797
[2025-02-21 20:51:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:51:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4611
[2025-02-21 20:52:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4767
[2025-02-21 20:52:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4455
[2025-02-21 20:52:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 20:52:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 20:52:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [23/50] - Train Loss: 2.4797
[2025-02-21 20:52:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:52:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 20:52:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4299
[2025-02-21 20:52:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4767
[2025-02-21 20:53:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5158
[2025-02-21 20:53:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5236
[2025-02-21 20:53:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [24/50] - Train Loss: 2.4797
[2025-02-21 20:53:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:53:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5392
[2025-02-21 20:53:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5236
[2025-02-21 20:53:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4377
[2025-02-21 20:53:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 20:53:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:53:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [25/50] - Train Loss: 2.4797
[2025-02-21 20:53:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:53:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5314
[2025-02-21 20:54:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:54:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4533
[2025-02-21 20:54:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 20:54:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 20:54:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [26/50] - Train Loss: 2.4797
[2025-02-21 20:54:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:54:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 20:54:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4924
[2025-02-21 20:54:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4533
[2025-02-21 20:55:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:55:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4533
[2025-02-21 20:55:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [27/50] - Train Loss: 2.4797
[2025-02-21 20:55:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:55:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4455
[2025-02-21 20:55:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 20:55:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5002
[2025-02-21 20:55:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 20:55:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 20:55:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [28/50] - Train Loss: 2.4797
[2025-02-21 20:55:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:55:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 20:56:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5080
[2025-02-21 20:56:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 20:56:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 20:56:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 20:56:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [29/50] - Train Loss: 2.4797
[2025-02-21 20:56:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:56:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 20:56:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 20:56:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 20:57:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 20:57:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4533
[2025-02-21 20:57:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [30/50] - Train Loss: 2.4797
[2025-02-21 20:57:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:57:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4845
[2025-02-21 20:57:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 20:57:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 20:57:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4845
[2025-02-21 20:57:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 20:57:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [31/50] - Train Loss: 2.4797
[2025-02-21 20:57:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:57:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 20:58:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5314
[2025-02-21 20:58:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4767
[2025-02-21 20:58:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 20:58:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4377
[2025-02-21 20:58:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [32/50] - Train Loss: 2.4797
[2025-02-21 20:58:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:58:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5158
[2025-02-21 20:58:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 20:58:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4533
[2025-02-21 20:59:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 20:59:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4299
[2025-02-21 20:59:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [33/50] - Train Loss: 2.4797
[2025-02-21 20:59:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 20:59:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5080
[2025-02-21 20:59:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 20:59:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4299
[2025-02-21 20:59:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5080
[2025-02-21 20:59:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4611
[2025-02-21 20:59:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [34/50] - Train Loss: 2.4797
[2025-02-21 21:00:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:00:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4455
[2025-02-21 21:00:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4377
[2025-02-21 21:00:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4924
[2025-02-21 21:00:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 21:00:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 21:00:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [35/50] - Train Loss: 2.4797
[2025-02-21 21:00:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:00:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 21:00:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 21:00:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4924
[2025-02-21 21:01:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4845
[2025-02-21 21:01:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4611
[2025-02-21 21:01:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [36/50] - Train Loss: 2.4797
[2025-02-21 21:01:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:01:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5080
[2025-02-21 21:01:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4924
[2025-02-21 21:01:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4377
[2025-02-21 21:01:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 21:01:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 21:01:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [37/50] - Train Loss: 2.4797
[2025-02-21 21:02:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:02:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4611
[2025-02-21 21:02:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5080
[2025-02-21 21:02:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 21:02:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 21:02:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 21:02:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [38/50] - Train Loss: 2.4797
[2025-02-21 21:02:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:02:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 21:02:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:02:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4924
[2025-02-21 21:03:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4845
[2025-02-21 21:03:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 21:03:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [39/50] - Train Loss: 2.4797
[2025-02-21 21:03:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:03:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 21:03:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5236
[2025-02-21 21:03:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5158
[2025-02-21 21:03:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 21:03:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 21:03:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [40/50] - Train Loss: 2.4797
[2025-02-21 21:04:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:04:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5080
[2025-02-21 21:04:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4924
[2025-02-21 21:04:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 21:04:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4845
[2025-02-21 21:04:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 21:04:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [41/50] - Train Loss: 2.4797
[2025-02-21 21:04:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:04:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4845
[2025-02-21 21:04:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:04:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5002
[2025-02-21 21:05:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4455
[2025-02-21 21:05:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 21:05:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [42/50] - Train Loss: 2.4797
[2025-02-21 21:05:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:05:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4064
[2025-02-21 21:05:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5002
[2025-02-21 21:05:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 21:05:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 21:05:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5392
[2025-02-21 21:05:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [43/50] - Train Loss: 2.4797
[2025-02-21 21:05:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:06:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 21:06:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4611
[2025-02-21 21:06:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 21:06:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4533
[2025-02-21 21:06:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4533
[2025-02-21 21:06:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [44/50] - Train Loss: 2.4797
[2025-02-21 21:06:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:06:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 21:06:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4689
[2025-02-21 21:06:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 21:07:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4377
[2025-02-21 21:07:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 21:07:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [45/50] - Train Loss: 2.4797
[2025-02-21 21:07:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:07:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 21:07:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4845
[2025-02-21 21:07:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4455
[2025-02-21 21:07:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 21:07:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4611
[2025-02-21 21:07:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [46/50] - Train Loss: 2.4797
[2025-02-21 21:07:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:07:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 21:08:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4767
[2025-02-21 21:08:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 21:08:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 21:08:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5158
[2025-02-21 21:08:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [47/50] - Train Loss: 2.4797
[2025-02-21 21:08:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:08:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 21:08:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4455
[2025-02-21 21:08:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 21:09:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 21:09:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 21:09:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [48/50] - Train Loss: 2.4797
[2025-02-21 21:09:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:09:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4767
[2025-02-21 21:09:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:09:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4845
[2025-02-21 21:09:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 21:09:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4845
[2025-02-21 21:10:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [49/50] - Train Loss: 2.4797
[2025-02-21 21:10:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:10:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4533
[2025-02-21 21:10:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4455
[2025-02-21 21:10:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4924
[2025-02-21 21:10:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 21:10:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 21:10:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [50/50] - Train Loss: 2.4797
[2025-02-21 21:10:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:10:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Model saved at: ./models/MNIST_AIR_FGSM_task1.pt
[2025-02-21 21:10:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Accuracy after Task 2, Attack=FGSM: 9.58%
[2025-02-21 21:10:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on PGD after Task 2: 9.58%
[2025-02-21 21:10:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on FGSM after Task 2: 9.58%
[2025-02-21 21:10:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on None after Task 2: 9.58%
[2025-02-21 21:10:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] --- Task 3 / 3: Attack = None ---
[2025-02-21 21:10:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Using AIR Defense...
[2025-02-21 21:10:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4533
[2025-02-21 21:11:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4924
[2025-02-21 21:11:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4377
[2025-02-21 21:11:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 21:11:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5314
[2025-02-21 21:11:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [1/50] - Train Loss: 2.4797
[2025-02-21 21:11:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:11:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4846
[2025-02-21 21:11:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4221
[2025-02-21 21:11:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4611
[2025-02-21 21:11:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5393
[2025-02-21 21:12:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4533
[2025-02-21 21:12:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [2/50] - Train Loss: 2.4797
[2025-02-21 21:12:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:12:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4924
[2025-02-21 21:12:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:12:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4455
[2025-02-21 21:12:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 21:12:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4846
[2025-02-21 21:12:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [3/50] - Train Loss: 2.4797
[2025-02-21 21:12:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:12:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4611
[2025-02-21 21:12:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4846
[2025-02-21 21:13:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4455
[2025-02-21 21:13:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 21:13:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5158
[2025-02-21 21:13:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [4/50] - Train Loss: 2.4797
[2025-02-21 21:13:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:13:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5236
[2025-02-21 21:13:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5080
[2025-02-21 21:13:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 21:13:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.5002
[2025-02-21 21:13:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4455
[2025-02-21 21:14:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [5/50] - Train Loss: 2.4797
[2025-02-21 21:14:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:14:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 21:14:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:14:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4846
[2025-02-21 21:14:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4924
[2025-02-21 21:14:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4221
[2025-02-21 21:14:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [6/50] - Train Loss: 2.4797
[2025-02-21 21:14:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:14:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4689
[2025-02-21 21:14:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5002
[2025-02-21 21:15:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5080
[2025-02-21 21:15:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4377
[2025-02-21 21:15:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 21:15:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [7/50] - Train Loss: 2.4797
[2025-02-21 21:15:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:15:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4611
[2025-02-21 21:15:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4846
[2025-02-21 21:15:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4768
[2025-02-21 21:15:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4611
[2025-02-21 21:15:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4924
[2025-02-21 21:16:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [8/50] - Train Loss: 2.4797
[2025-02-21 21:16:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:16:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5236
[2025-02-21 21:16:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4846
[2025-02-21 21:16:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4767
[2025-02-21 21:16:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4767
[2025-02-21 21:16:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.5002
[2025-02-21 21:16:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [9/50] - Train Loss: 2.4797
[2025-02-21 21:16:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:16:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4768
[2025-02-21 21:16:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5080
[2025-02-21 21:16:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.5002
[2025-02-21 21:17:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4533
[2025-02-21 21:17:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 21:17:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [10/50] - Train Loss: 2.4797
[2025-02-21 21:17:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:17:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 21:17:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.5158
[2025-02-21 21:17:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4689
[2025-02-21 21:17:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4689
[2025-02-21 21:17:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4689
[2025-02-21 21:17:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [11/50] - Train Loss: 2.4797
[2025-02-21 21:17:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-21 21:17:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.5002
[2025-02-21 21:18:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.4533
[2025-02-21 21:18:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 2.4529
[2025-02-21 21:18:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 2.4844
[2025-02-21 21:18:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 2.4767
[2025-02-21 21:18:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [12/50] - Train Loss: 2.4787
[2025-02-21 21:18:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 10.07%
[2025-02-21 21:18:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 2.4674
[2025-02-21 21:18:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 2.0732
[2025-02-21 21:18:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.6749
[2025-02-21 21:18:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.7067
[2025-02-21 21:19:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5493
[2025-02-21 21:19:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [13/50] - Train Loss: 1.7946
[2025-02-21 21:19:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 97.26%
[2025-02-21 21:19:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5434
[2025-02-21 21:19:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5567
[2025-02-21 21:19:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5408
[2025-02-21 21:19:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5730
[2025-02-21 21:19:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5213
[2025-02-21 21:19:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [14/50] - Train Loss: 1.5472
[2025-02-21 21:19:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.34%
[2025-02-21 21:19:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5679
[2025-02-21 21:20:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5260
[2025-02-21 21:20:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5598
[2025-02-21 21:20:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5548
[2025-02-21 21:20:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5201
[2025-02-21 21:20:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [15/50] - Train Loss: 1.5357
[2025-02-21 21:20:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.69%
[2025-02-21 21:20:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5474
[2025-02-21 21:20:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5772
[2025-02-21 21:20:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5267
[2025-02-21 21:20:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5174
[2025-02-21 21:21:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5560
[2025-02-21 21:21:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [16/50] - Train Loss: 1.5244
[2025-02-21 21:21:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.67%
[2025-02-21 21:21:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4914
[2025-02-21 21:21:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5285
[2025-02-21 21:21:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4971
[2025-02-21 21:21:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4909
[2025-02-21 21:21:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5000
[2025-02-21 21:21:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [17/50] - Train Loss: 1.5153
[2025-02-21 21:21:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 21:21:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4953
[2025-02-21 21:21:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5033
[2025-02-21 21:22:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4995
[2025-02-21 21:22:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4815
[2025-02-21 21:22:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4961
[2025-02-21 21:22:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [18/50] - Train Loss: 1.5077
[2025-02-21 21:22:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.84%
[2025-02-21 21:22:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4881
[2025-02-21 21:22:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5012
[2025-02-21 21:22:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5148
[2025-02-21 21:22:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4774
[2025-02-21 21:22:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4878
[2025-02-21 21:23:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [19/50] - Train Loss: 1.5028
[2025-02-21 21:23:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.79%
[2025-02-21 21:23:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5207
[2025-02-21 21:23:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4867
[2025-02-21 21:23:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4885
[2025-02-21 21:23:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4898
[2025-02-21 21:23:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5386
[2025-02-21 21:23:42] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [20/50] - Train Loss: 1.4989
[2025-02-21 21:23:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 21:23:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5364
[2025-02-21 21:23:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4839
[2025-02-21 21:23:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4698
[2025-02-21 21:24:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5226
[2025-02-21 21:24:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5027
[2025-02-21 21:24:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [21/50] - Train Loss: 1.4957
[2025-02-21 21:24:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.64%
[2025-02-21 21:24:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5346
[2025-02-21 21:24:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5090
[2025-02-21 21:24:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4905
[2025-02-21 21:24:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5041
[2025-02-21 21:24:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4874
[2025-02-21 21:24:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [22/50] - Train Loss: 1.4944
[2025-02-21 21:25:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.86%
[2025-02-21 21:25:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4787
[2025-02-21 21:25:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4679
[2025-02-21 21:25:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4951
[2025-02-21 21:25:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4680
[2025-02-21 21:25:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5304
[2025-02-21 21:25:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [23/50] - Train Loss: 1.4910
[2025-02-21 21:25:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.01%
[2025-02-21 21:25:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4692
[2025-02-21 21:25:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5134
[2025-02-21 21:25:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5470
[2025-02-21 21:26:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4756
[2025-02-21 21:26:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4952
[2025-02-21 21:26:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [24/50] - Train Loss: 1.4904
[2025-02-21 21:26:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.97%
[2025-02-21 21:26:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4680
[2025-02-21 21:26:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5055
[2025-02-21 21:26:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5106
[2025-02-21 21:26:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4833
[2025-02-21 21:26:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 21:26:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [25/50] - Train Loss: 1.4873
[2025-02-21 21:26:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 21:26:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4783
[2025-02-21 21:27:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.5027
[2025-02-21 21:27:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4651
[2025-02-21 21:27:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4777
[2025-02-21 21:27:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5332
[2025-02-21 21:27:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [26/50] - Train Loss: 1.4876
[2025-02-21 21:27:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 21:27:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4683
[2025-02-21 21:27:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4771
[2025-02-21 21:27:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4822
[2025-02-21 21:28:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4728
[2025-02-21 21:28:08] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4764
[2025-02-21 21:28:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [27/50] - Train Loss: 1.4866
[2025-02-21 21:28:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.06%
[2025-02-21 21:28:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5306
[2025-02-21 21:28:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4646
[2025-02-21 21:28:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4770
[2025-02-21 21:28:37] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4854
[2025-02-21 21:28:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5134
[2025-02-21 21:28:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [28/50] - Train Loss: 1.4845
[2025-02-21 21:28:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 21:28:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4660
[2025-02-21 21:29:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4808
[2025-02-21 21:29:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4872
[2025-02-21 21:29:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4926
[2025-02-21 21:29:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4798
[2025-02-21 21:29:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [29/50] - Train Loss: 1.4833
[2025-02-21 21:29:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-21 21:29:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5253
[2025-02-21 21:29:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4666
[2025-02-21 21:29:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4722
[2025-02-21 21:29:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5236
[2025-02-21 21:30:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 21:30:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [30/50] - Train Loss: 1.4821
[2025-02-21 21:30:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-21 21:30:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4852
[2025-02-21 21:30:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4773
[2025-02-21 21:30:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5362
[2025-02-21 21:30:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4672
[2025-02-21 21:30:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4632
[2025-02-21 21:30:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [31/50] - Train Loss: 1.4802
[2025-02-21 21:30:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.25%
[2025-02-21 21:30:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4709
[2025-02-21 21:30:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4726
[2025-02-21 21:31:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4682
[2025-02-21 21:31:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4799
[2025-02-21 21:31:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5372
[2025-02-21 21:31:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [32/50] - Train Loss: 1.4819
[2025-02-21 21:31:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 21:31:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4692
[2025-02-21 21:31:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4724
[2025-02-21 21:31:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4636
[2025-02-21 21:31:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4709
[2025-02-21 21:32:00] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4641
[2025-02-21 21:32:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [33/50] - Train Loss: 1.4804
[2025-02-21 21:32:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.25%
[2025-02-21 21:32:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4750
[2025-02-21 21:32:15] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4927
[2025-02-21 21:32:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4785
[2025-02-21 21:32:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4714
[2025-02-21 21:32:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4723
[2025-02-21 21:32:45] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [34/50] - Train Loss: 1.4804
[2025-02-21 21:32:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.13%
[2025-02-21 21:32:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5268
[2025-02-21 21:32:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4736
[2025-02-21 21:33:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5235
[2025-02-21 21:33:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5232
[2025-02-21 21:33:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5419
[2025-02-21 21:33:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [35/50] - Train Loss: 1.4787
[2025-02-21 21:33:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-21 21:33:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4728
[2025-02-21 21:33:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4853
[2025-02-21 21:33:40] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4917
[2025-02-21 21:33:48] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4686
[2025-02-21 21:33:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4703
[2025-02-21 21:34:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [36/50] - Train Loss: 1.4796
[2025-02-21 21:34:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.20%
[2025-02-21 21:34:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.5158
[2025-02-21 21:34:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4654
[2025-02-21 21:34:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4657
[2025-02-21 21:34:26] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4640
[2025-02-21 21:34:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4693
[2025-02-21 21:34:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [37/50] - Train Loss: 1.4783
[2025-02-21 21:34:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.27%
[2025-02-21 21:34:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4656
[2025-02-21 21:34:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4735
[2025-02-21 21:34:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4666
[2025-02-21 21:35:05] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4689
[2025-02-21 21:35:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4631
[2025-02-21 21:35:18] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [38/50] - Train Loss: 1.4783
[2025-02-21 21:35:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.19%
[2025-02-21 21:35:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4699
[2025-02-21 21:35:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4760
[2025-02-21 21:35:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4680
[2025-02-21 21:35:44] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4640
[2025-02-21 21:35:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4670
[2025-02-21 21:35:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [39/50] - Train Loss: 1.4790
[2025-02-21 21:35:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-21 21:35:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4709
[2025-02-21 21:36:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4637
[2025-02-21 21:36:14] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4693
[2025-02-21 21:36:23] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4640
[2025-02-21 21:36:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4716
[2025-02-21 21:36:36] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [40/50] - Train Loss: 1.4759
[2025-02-21 21:36:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-21 21:36:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4683
[2025-02-21 21:36:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4691
[2025-02-21 21:36:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4633
[2025-02-21 21:37:02] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4727
[2025-02-21 21:37:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4800
[2025-02-21 21:37:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [41/50] - Train Loss: 1.4753
[2025-02-21 21:37:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.01%
[2025-02-21 21:37:17] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4813
[2025-02-21 21:37:25] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4638
[2025-02-21 21:37:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4661
[2025-02-21 21:37:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.5057
[2025-02-21 21:37:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4781
[2025-02-21 21:37:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [42/50] - Train Loss: 1.4765
[2025-02-21 21:37:56] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 21:37:57] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4674
[2025-02-21 21:38:04] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4642
[2025-02-21 21:38:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.5223
[2025-02-21 21:38:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4725
[2025-02-21 21:38:28] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4646
[2025-02-21 21:38:33] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [43/50] - Train Loss: 1.4764
[2025-02-21 21:38:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.26%
[2025-02-21 21:38:35] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4692
[2025-02-21 21:38:43] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4669
[2025-02-21 21:38:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4702
[2025-02-21 21:38:59] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4697
[2025-02-21 21:39:07] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4633
[2025-02-21 21:39:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [44/50] - Train Loss: 1.4765
[2025-02-21 21:39:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.20%
[2025-02-21 21:39:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4676
[2025-02-21 21:39:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4653
[2025-02-21 21:39:30] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4644
[2025-02-21 21:39:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4668
[2025-02-21 21:39:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4710
[2025-02-21 21:39:53] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [45/50] - Train Loss: 1.4747
[2025-02-21 21:39:54] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.18%
[2025-02-21 21:39:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4633
[2025-02-21 21:40:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4649
[2025-02-21 21:40:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4674
[2025-02-21 21:40:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4643
[2025-02-21 21:40:27] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.5084
[2025-02-21 21:40:32] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [46/50] - Train Loss: 1.4739
[2025-02-21 21:40:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.19%
[2025-02-21 21:40:34] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4628
[2025-02-21 21:40:41] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4663
[2025-02-21 21:40:49] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4711
[2025-02-21 21:40:58] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4725
[2025-02-21 21:41:06] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4697
[2025-02-21 21:41:12] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [47/50] - Train Loss: 1.4754
[2025-02-21 21:41:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.27%
[2025-02-21 21:41:13] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4648
[2025-02-21 21:41:21] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4728
[2025-02-21 21:41:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4661
[2025-02-21 21:41:38] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4746
[2025-02-21 21:41:46] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4670
[2025-02-21 21:41:51] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [48/50] - Train Loss: 1.4740
[2025-02-21 21:41:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.03%
[2025-02-21 21:41:52] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4712
[2025-02-21 21:42:01] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4671
[2025-02-21 21:42:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4749
[2025-02-21 21:42:16] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4635
[2025-02-21 21:42:24] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4619
[2025-02-21 21:42:29] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [49/50] - Train Loss: 1.4762
[2025-02-21 21:42:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.24%
[2025-02-21 21:42:31] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 0, Loss: 1.4652
[2025-02-21 21:42:39] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 100, Loss: 1.4720
[2025-02-21 21:42:47] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 200, Loss: 1.4627
[2025-02-21 21:42:55] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 300, Loss: 1.4703
[2025-02-21 21:43:03] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Batch 400, Loss: 1.4656
[2025-02-21 21:43:09] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Epoch [50/50] - Train Loss: 1.4747
[2025-02-21 21:43:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-21 21:43:10] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Model saved at: ./models/MNIST_AIR_None_task2.pt
[2025-02-21 21:43:11] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Clean Accuracy after Task 3, Attack=None: 99.15%
[2025-02-21 21:43:19] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on PGD after Task 3: 9.58%
[2025-02-21 21:43:20] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on FGSM after Task 3: 9.58%
[2025-02-21 21:43:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Robust Accuracy on None after Task 3: 99.15%
[2025-02-21 21:43:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] === All tasks completed! ===
[2025-02-21 21:43:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] === Final Results ===
[2025-02-21 21:43:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] []
[2025-02-21 21:43:22] [MNIST-AIR-('PGD', 'FGSM', 'None')] [INFO] Done!