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[2025-02-20 15:52:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] === Configuration ===
[2025-02-20 15:52:43] [MNIST-AIR-('FGSM', 'PGD')] [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=0.0, iso_clamp_max=1.0, 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=('FGSM', 'PGD'))
[2025-02-20 15:52:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] --- Task 1 / 2: Attack = FGSM ---
[2025-02-20 15:52:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Using AIR Defense...
[2025-02-20 15:52:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.3030
[2025-02-20 15:52:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.3027
[2025-02-20 15:53:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.3032
[2025-02-20 15:53:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.3015
[2025-02-20 15:53:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.3011
[2025-02-20 15:53:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [1/50] - Train Loss: 2.3024
[2025-02-20 15:53:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 11.35%
[2025-02-20 15:53:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.3014
[2025-02-20 15:53:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.3000
[2025-02-20 15:53:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.9284
[2025-02-20 15:53:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.7751
[2025-02-20 15:53:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.7324
[2025-02-20 15:54:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [2/50] - Train Loss: 1.9943
[2025-02-20 15:54:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 85.56%
[2025-02-20 15:54:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.8256
[2025-02-20 15:54:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.7336
[2025-02-20 15:54:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.6530
[2025-02-20 15:54:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5922
[2025-02-20 15:54:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5952
[2025-02-20 15:54:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [3/50] - Train Loss: 1.6359
[2025-02-20 15:54:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 97.58%
[2025-02-20 15:54:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.6023
[2025-02-20 15:54:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5392
[2025-02-20 15:54:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.6176
[2025-02-20 15:55:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5913
[2025-02-20 15:55:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5589
[2025-02-20 15:55:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [4/50] - Train Loss: 1.5707
[2025-02-20 15:55:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.50%
[2025-02-20 15:55:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5374
[2025-02-20 15:55:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5582
[2025-02-20 15:55:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5224
[2025-02-20 15:55:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5471
[2025-02-20 15:55:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [5/50] - Train Loss: 1.5547
[2025-02-20 15:56:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.51%
[2025-02-20 15:56:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5761
[2025-02-20 15:56:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5324
[2025-02-20 15:56:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5616
[2025-02-20 15:56:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5110
[2025-02-20 15:56:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5658
[2025-02-20 15:56:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [6/50] - Train Loss: 1.5366
[2025-02-20 15:56:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.65%
[2025-02-20 15:56:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5333
[2025-02-20 15:56:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5451
[2025-02-20 15:56:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5122
[2025-02-20 15:57:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5202
[2025-02-20 15:57:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5140
[2025-02-20 15:57:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [7/50] - Train Loss: 1.5254
[2025-02-20 15:57:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.77%
[2025-02-20 15:57:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5064
[2025-02-20 15:57:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5259
[2025-02-20 15:57:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5318
[2025-02-20 15:57:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5690
[2025-02-20 15:57:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4895
[2025-02-20 15:57:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [8/50] - Train Loss: 1.5169
[2025-02-20 15:57:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.35%
[2025-02-20 15:57:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5291
[2025-02-20 15:58:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5029
[2025-02-20 15:58:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4950
[2025-02-20 15:58:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5028
[2025-02-20 15:58:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4999
[2025-02-20 15:58:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [9/50] - Train Loss: 1.5114
[2025-02-20 15:58:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.80%
[2025-02-20 15:58:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4942
[2025-02-20 15:58:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5030
[2025-02-20 15:58:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5395
[2025-02-20 15:59:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5051
[2025-02-20 15:59:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4991
[2025-02-20 15:59:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [10/50] - Train Loss: 1.5087
[2025-02-20 15:59:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.04%
[2025-02-20 15:59:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4774
[2025-02-20 15:59:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5176
[2025-02-20 15:59:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4812
[2025-02-20 15:59:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4845
[2025-02-20 15:59:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4842
[2025-02-20 15:59:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [11/50] - Train Loss: 1.5044
[2025-02-20 15:59:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.77%
[2025-02-20 15:59:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4925
[2025-02-20 16:00:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5043
[2025-02-20 16:00:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4732
[2025-02-20 16:00:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5119
[2025-02-20 16:00:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4892
[2025-02-20 16:00:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [12/50] - Train Loss: 1.5022
[2025-02-20 16:00:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.92%
[2025-02-20 16:00:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5013
[2025-02-20 16:00:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4722
[2025-02-20 16:00:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4938
[2025-02-20 16:01:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5088
[2025-02-20 16:01:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5221
[2025-02-20 16:01:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [13/50] - Train Loss: 1.4998
[2025-02-20 16:01:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.82%
[2025-02-20 16:01:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5168
[2025-02-20 16:01:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4866
[2025-02-20 16:01:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4992
[2025-02-20 16:01:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5159
[2025-02-20 16:01:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5368
[2025-02-20 16:01:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [14/50] - Train Loss: 1.5001
[2025-02-20 16:01:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.00%
[2025-02-20 16:01:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4996
[2025-02-20 16:02:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4802
[2025-02-20 16:02:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4988
[2025-02-20 16:02:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4903
[2025-02-20 16:02:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5743
[2025-02-20 16:02:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [15/50] - Train Loss: 1.4992
[2025-02-20 16:02:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.78%
[2025-02-20 16:02:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5266
[2025-02-20 16:02:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4727
[2025-02-20 16:02:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4946
[2025-02-20 16:02:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5244
[2025-02-20 16:03:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4985
[2025-02-20 16:03:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [16/50] - Train Loss: 1.4971
[2025-02-20 16:03:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.13%
[2025-02-20 16:03:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4672
[2025-02-20 16:03:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5345
[2025-02-20 16:03:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4804
[2025-02-20 16:03:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4813
[2025-02-20 16:03:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4926
[2025-02-20 16:03:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [17/50] - Train Loss: 1.4930
[2025-02-20 16:03:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.98%
[2025-02-20 16:03:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4802
[2025-02-20 16:03:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5351
[2025-02-20 16:04:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4771
[2025-02-20 16:04:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4840
[2025-02-20 16:04:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5062
[2025-02-20 16:04:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [18/50] - Train Loss: 1.4942
[2025-02-20 16:04:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-20 16:04:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4701
[2025-02-20 16:04:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4835
[2025-02-20 16:04:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4792
[2025-02-20 16:04:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4993
[2025-02-20 16:05:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5413
[2025-02-20 16:05:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [19/50] - Train Loss: 1.4944
[2025-02-20 16:05:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.05%
[2025-02-20 16:05:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5096
[2025-02-20 16:05:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4939
[2025-02-20 16:05:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4768
[2025-02-20 16:05:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5285
[2025-02-20 16:05:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4844
[2025-02-20 16:05:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [20/50] - Train Loss: 1.4916
[2025-02-20 16:05:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.00%
[2025-02-20 16:05:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5111
[2025-02-20 16:05:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4855
[2025-02-20 16:06:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4943
[2025-02-20 16:06:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4727
[2025-02-20 16:06:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4771
[2025-02-20 16:06:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [21/50] - Train Loss: 1.4891
[2025-02-20 16:06:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.04%
[2025-02-20 16:06:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5075
[2025-02-20 16:06:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4691
[2025-02-20 16:06:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4935
[2025-02-20 16:06:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4884
[2025-02-20 16:06:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4824
[2025-02-20 16:07:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [22/50] - Train Loss: 1.4895
[2025-02-20 16:07:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.05%
[2025-02-20 16:07:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4662
[2025-02-20 16:07:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4820
[2025-02-20 16:07:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5336
[2025-02-20 16:07:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4690
[2025-02-20 16:07:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4999
[2025-02-20 16:07:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [23/50] - Train Loss: 1.4894
[2025-02-20 16:07:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-20 16:07:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4665
[2025-02-20 16:07:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5365
[2025-02-20 16:07:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4716
[2025-02-20 16:08:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5364
[2025-02-20 16:08:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4646
[2025-02-20 16:08:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [24/50] - Train Loss: 1.4874
[2025-02-20 16:08:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-20 16:08:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4764
[2025-02-20 16:08:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4662
[2025-02-20 16:08:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5283
[2025-02-20 16:08:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5160
[2025-02-20 16:08:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5455
[2025-02-20 16:08:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [25/50] - Train Loss: 1.4875
[2025-02-20 16:09:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.12%
[2025-02-20 16:09:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4787
[2025-02-20 16:09:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4683
[2025-02-20 16:09:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4738
[2025-02-20 16:09:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4686
[2025-02-20 16:09:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4721
[2025-02-20 16:09:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [26/50] - Train Loss: 1.4868
[2025-02-20 16:09:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.24%
[2025-02-20 16:09:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5148
[2025-02-20 16:09:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4904
[2025-02-20 16:09:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4688
[2025-02-20 16:10:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4727
[2025-02-20 16:10:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4758
[2025-02-20 16:10:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [27/50] - Train Loss: 1.4873
[2025-02-20 16:10:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.20%
[2025-02-20 16:10:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5445
[2025-02-20 16:10:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4839
[2025-02-20 16:10:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4687
[2025-02-20 16:10:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4797
[2025-02-20 16:10:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4800
[2025-02-20 16:10:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [28/50] - Train Loss: 1.4855
[2025-02-20 16:10:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.19%
[2025-02-20 16:10:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4756
[2025-02-20 16:11:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4706
[2025-02-20 16:11:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5272
[2025-02-20 16:11:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4761
[2025-02-20 16:11:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4666
[2025-02-20 16:11:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [29/50] - Train Loss: 1.4855
[2025-02-20 16:11:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-20 16:11:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5218
[2025-02-20 16:11:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4774
[2025-02-20 16:11:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4761
[2025-02-20 16:12:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4634
[2025-02-20 16:12:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4754
[2025-02-20 16:12:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [30/50] - Train Loss: 1.4864
[2025-02-20 16:12:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.29%
[2025-02-20 16:12:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4693
[2025-02-20 16:12:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5069
[2025-02-20 16:12:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4795
[2025-02-20 16:12:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4749
[2025-02-20 16:12:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5272
[2025-02-20 16:12:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [31/50] - Train Loss: 1.4838
[2025-02-20 16:12:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.07%
[2025-02-20 16:12:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5006
[2025-02-20 16:13:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5029
[2025-02-20 16:13:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4693
[2025-02-20 16:13:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4700
[2025-02-20 16:13:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4675
[2025-02-20 16:13:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [32/50] - Train Loss: 1.4847
[2025-02-20 16:13:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.25%
[2025-02-20 16:13:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4664
[2025-02-20 16:13:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5350
[2025-02-20 16:13:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4652
[2025-02-20 16:13:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4689
[2025-02-20 16:14:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4678
[2025-02-20 16:14:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [33/50] - Train Loss: 1.4841
[2025-02-20 16:14:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.22%
[2025-02-20 16:14:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5089
[2025-02-20 16:14:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4815
[2025-02-20 16:14:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4792
[2025-02-20 16:14:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4729
[2025-02-20 16:14:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4760
[2025-02-20 16:14:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [34/50] - Train Loss: 1.4833
[2025-02-20 16:14:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-20 16:14:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4700
[2025-02-20 16:15:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4786
[2025-02-20 16:15:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4769
[2025-02-20 16:15:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5348
[2025-02-20 16:15:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5266
[2025-02-20 16:15:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [35/50] - Train Loss: 1.4813
[2025-02-20 16:15:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.22%
[2025-02-20 16:15:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5278
[2025-02-20 16:15:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4751
[2025-02-20 16:15:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4906
[2025-02-20 16:15:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4783
[2025-02-20 16:16:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5238
[2025-02-20 16:16:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [36/50] - Train Loss: 1.4832
[2025-02-20 16:16:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-20 16:16:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4655
[2025-02-20 16:16:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4708
[2025-02-20 16:16:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4752
[2025-02-20 16:16:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4749
[2025-02-20 16:16:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4665
[2025-02-20 16:16:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [37/50] - Train Loss: 1.4821
[2025-02-20 16:16:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.02%
[2025-02-20 16:16:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4770
[2025-02-20 16:16:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4711
[2025-02-20 16:17:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4641
[2025-02-20 16:17:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4636
[2025-02-20 16:17:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4834
[2025-02-20 16:17:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [38/50] - Train Loss: 1.4822
[2025-02-20 16:17:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-20 16:17:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4693
[2025-02-20 16:17:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4644
[2025-02-20 16:17:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4681
[2025-02-20 16:17:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4823
[2025-02-20 16:18:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4666
[2025-02-20 16:18:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [39/50] - Train Loss: 1.4842
[2025-02-20 16:18:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.24%
[2025-02-20 16:18:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4743
[2025-02-20 16:18:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5037
[2025-02-20 16:18:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4705
[2025-02-20 16:18:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4695
[2025-02-20 16:18:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4648
[2025-02-20 16:18:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [40/50] - Train Loss: 1.4816
[2025-02-20 16:18:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-20 16:18:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4705
[2025-02-20 16:18:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5338
[2025-02-20 16:19:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4675
[2025-02-20 16:19:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4695
[2025-02-20 16:19:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4703
[2025-02-20 16:19:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [41/50] - Train Loss: 1.4829
[2025-02-20 16:19:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-20 16:19:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4758
[2025-02-20 16:19:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5054
[2025-02-20 16:19:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5361
[2025-02-20 16:19:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4639
[2025-02-20 16:20:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4635
[2025-02-20 16:20:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [42/50] - Train Loss: 1.4837
[2025-02-20 16:20:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.18%
[2025-02-20 16:20:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4714
[2025-02-20 16:20:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4691
[2025-02-20 16:20:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5308
[2025-02-20 16:20:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5067
[2025-02-20 16:20:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4824
[2025-02-20 16:20:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [43/50] - Train Loss: 1.4819
[2025-02-20 16:20:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.19%
[2025-02-20 16:20:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4632
[2025-02-20 16:20:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4666
[2025-02-20 16:21:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4662
[2025-02-20 16:21:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.5216
[2025-02-20 16:21:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4866
[2025-02-20 16:21:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [44/50] - Train Loss: 1.4825
[2025-02-20 16:21:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.26%
[2025-02-20 16:21:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4652
[2025-02-20 16:21:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4665
[2025-02-20 16:21:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4765
[2025-02-20 16:21:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4687
[2025-02-20 16:21:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4751
[2025-02-20 16:22:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [45/50] - Train Loss: 1.4820
[2025-02-20 16:22:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.09%
[2025-02-20 16:22:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4720
[2025-02-20 16:22:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.5313
[2025-02-20 16:22:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4644
[2025-02-20 16:22:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4640
[2025-02-20 16:22:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5231
[2025-02-20 16:22:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [46/50] - Train Loss: 1.4824
[2025-02-20 16:22:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.98%
[2025-02-20 16:22:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4736
[2025-02-20 16:22:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4802
[2025-02-20 16:22:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4771
[2025-02-20 16:23:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4697
[2025-02-20 16:23:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.5215
[2025-02-20 16:23:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [47/50] - Train Loss: 1.4819
[2025-02-20 16:23:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-20 16:23:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4730
[2025-02-20 16:23:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4852
[2025-02-20 16:23:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5228
[2025-02-20 16:23:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4740
[2025-02-20 16:23:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4742
[2025-02-20 16:24:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [48/50] - Train Loss: 1.4841
[2025-02-20 16:24:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.18%
[2025-02-20 16:24:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4642
[2025-02-20 16:24:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4769
[2025-02-20 16:24:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.4718
[2025-02-20 16:24:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4635
[2025-02-20 16:24:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4966
[2025-02-20 16:24:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [49/50] - Train Loss: 1.4833
[2025-02-20 16:24:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-20 16:24:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.4654
[2025-02-20 16:24:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.4807
[2025-02-20 16:24:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.5247
[2025-02-20 16:25:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.4628
[2025-02-20 16:25:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.4731
[2025-02-20 16:25:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [50/50] - Train Loss: 1.4828
[2025-02-20 16:25:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 98.88%
[2025-02-20 16:25:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Model saved at: ./models/MNIST_AIR_FGSM_task0.pt
[2025-02-20 16:25:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Accuracy after Task 1, Attack=FGSM: 98.88%
[2025-02-20 16:25:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Robust Accuracy on FGSM after Task 1: 97.38%
[2025-02-20 16:25:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Robust Accuracy on PGD after Task 1: 97.07%
[2025-02-20 16:25:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] --- Task 2 / 2: Attack = PGD ---
[2025-02-20 16:25:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Using AIR Defense...
[2025-02-20 16:25:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.5139
[2025-02-20 16:25:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4767
[2025-02-20 16:26:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4611
[2025-02-20 16:26:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4767
[2025-02-20 16:26:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4689
[2025-02-20 16:26:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [1/50] - Train Loss: 2.4708
[2025-02-20 16:26:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:26:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4377
[2025-02-20 16:27:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4924
[2025-02-20 16:27:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5158
[2025-02-20 16:27:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 16:28:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4767
[2025-02-20 16:28:13] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [2/50] - Train Loss: 2.4797
[2025-02-20 16:28:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:28:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5158
[2025-02-20 16:28:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5002
[2025-02-20 16:28:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4767
[2025-02-20 16:29:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4845
[2025-02-20 16:29:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4533
[2025-02-20 16:29:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [3/50] - Train Loss: 2.4797
[2025-02-20 16:29:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:29:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4455
[2025-02-20 16:29:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4533
[2025-02-20 16:30:13] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5080
[2025-02-20 16:30:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5002
[2025-02-20 16:30:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 16:30:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [4/50] - Train Loss: 2.4797
[2025-02-20 16:31:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:31:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4611
[2025-02-20 16:31:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4299
[2025-02-20 16:31:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5236
[2025-02-20 16:31:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4924
[2025-02-20 16:32:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5080
[2025-02-20 16:32:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [5/50] - Train Loss: 2.4797
[2025-02-20 16:32:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:32:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4845
[2025-02-20 16:32:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:33:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4533
[2025-02-20 16:33:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 16:33:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4377
[2025-02-20 16:33:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [6/50] - Train Loss: 2.4797
[2025-02-20 16:33:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:33:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4533
[2025-02-20 16:34:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4845
[2025-02-20 16:34:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4689
[2025-02-20 16:34:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4455
[2025-02-20 16:34:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4220
[2025-02-20 16:35:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [7/50] - Train Loss: 2.4797
[2025-02-20 16:35:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:35:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4689
[2025-02-20 16:35:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5002
[2025-02-20 16:35:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4767
[2025-02-20 16:36:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5236
[2025-02-20 16:36:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 16:36:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [8/50] - Train Loss: 2.4797
[2025-02-20 16:36:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:36:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5158
[2025-02-20 16:36:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:37:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4845
[2025-02-20 16:37:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5002
[2025-02-20 16:37:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4924
[2025-02-20 16:37:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [9/50] - Train Loss: 2.4797
[2025-02-20 16:37:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:37:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4611
[2025-02-20 16:38:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4533
[2025-02-20 16:38:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4689
[2025-02-20 16:38:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4924
[2025-02-20 16:39:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5236
[2025-02-20 16:39:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [10/50] - Train Loss: 2.4797
[2025-02-20 16:39:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:39:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4845
[2025-02-20 16:39:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:39:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4611
[2025-02-20 16:40:13] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4455
[2025-02-20 16:40:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5002
[2025-02-20 16:40:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [11/50] - Train Loss: 2.4797
[2025-02-20 16:40:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:40:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4533
[2025-02-20 16:41:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4767
[2025-02-20 16:41:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5236
[2025-02-20 16:41:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 16:41:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4767
[2025-02-20 16:42:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [12/50] - Train Loss: 2.4797
[2025-02-20 16:42:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:42:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5002
[2025-02-20 16:42:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4611
[2025-02-20 16:42:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5080
[2025-02-20 16:42:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 16:43:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4533
[2025-02-20 16:43:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [13/50] - Train Loss: 2.4797
[2025-02-20 16:43:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:43:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4924
[2025-02-20 16:43:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:44:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4767
[2025-02-20 16:44:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 16:44:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5158
[2025-02-20 16:44:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [14/50] - Train Loss: 2.4797
[2025-02-20 16:44:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:44:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4767
[2025-02-20 16:45:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4767
[2025-02-20 16:45:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4924
[2025-02-20 16:45:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 16:46:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 16:46:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [15/50] - Train Loss: 2.4797
[2025-02-20 16:46:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:46:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4845
[2025-02-20 16:46:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4455
[2025-02-20 16:46:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4845
[2025-02-20 16:47:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4455
[2025-02-20 16:47:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5080
[2025-02-20 16:47:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [16/50] - Train Loss: 2.4797
[2025-02-20 16:47:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:47:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4377
[2025-02-20 16:47:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5002
[2025-02-20 16:48:15] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4220
[2025-02-20 16:48:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4689
[2025-02-20 16:48:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 16:49:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [17/50] - Train Loss: 2.4797
[2025-02-20 16:49:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:49:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4689
[2025-02-20 16:49:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5236
[2025-02-20 16:49:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4377
[2025-02-20 16:49:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4689
[2025-02-20 16:50:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 16:50:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [18/50] - Train Loss: 2.4797
[2025-02-20 16:50:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:50:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4767
[2025-02-20 16:50:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:51:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4689
[2025-02-20 16:51:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4924
[2025-02-20 16:51:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4455
[2025-02-20 16:51:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [19/50] - Train Loss: 2.4797
[2025-02-20 16:51:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:51:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4767
[2025-02-20 16:52:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4611
[2025-02-20 16:52:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4845
[2025-02-20 16:52:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4689
[2025-02-20 16:52:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4377
[2025-02-20 16:53:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [20/50] - Train Loss: 2.4797
[2025-02-20 16:53:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:53:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4455
[2025-02-20 16:53:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 16:53:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4689
[2025-02-20 16:54:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 16:54:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4689
[2025-02-20 16:54:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [21/50] - Train Loss: 2.4797
[2025-02-20 16:54:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:54:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4924
[2025-02-20 16:54:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4455
[2025-02-20 16:55:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5158
[2025-02-20 16:55:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4767
[2025-02-20 16:55:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4611
[2025-02-20 16:55:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [22/50] - Train Loss: 2.4797
[2025-02-20 16:56:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:56:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4611
[2025-02-20 16:56:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4767
[2025-02-20 16:56:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4455
[2025-02-20 16:56:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 16:57:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5002
[2025-02-20 16:57:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [23/50] - Train Loss: 2.4797
[2025-02-20 16:57:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:57:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4767
[2025-02-20 16:57:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4299
[2025-02-20 16:57:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4767
[2025-02-20 16:58:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5158
[2025-02-20 16:58:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5236
[2025-02-20 16:58:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [24/50] - Train Loss: 2.4797
[2025-02-20 16:58:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 16:58:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5392
[2025-02-20 16:59:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5236
[2025-02-20 16:59:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4377
[2025-02-20 16:59:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5002
[2025-02-20 16:59:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 17:00:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [25/50] - Train Loss: 2.4797
[2025-02-20 17:00:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:00:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5314
[2025-02-20 17:00:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 17:00:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4533
[2025-02-20 17:01:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4767
[2025-02-20 17:01:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4767
[2025-02-20 17:01:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [26/50] - Train Loss: 2.4797
[2025-02-20 17:01:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:01:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5002
[2025-02-20 17:01:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4924
[2025-02-20 17:02:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4533
[2025-02-20 17:02:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 17:02:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4533
[2025-02-20 17:02:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [27/50] - Train Loss: 2.4797
[2025-02-20 17:02:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:02:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4455
[2025-02-20 17:03:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4533
[2025-02-20 17:03:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5002
[2025-02-20 17:03:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 17:04:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4689
[2025-02-20 17:04:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [28/50] - Train Loss: 2.4797
[2025-02-20 17:04:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:04:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4767
[2025-02-20 17:04:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5080
[2025-02-20 17:04:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4611
[2025-02-20 17:05:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4924
[2025-02-20 17:05:32] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4689
[2025-02-20 17:05:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [29/50] - Train Loss: 2.4797
[2025-02-20 17:05:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:05:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5002
[2025-02-20 17:06:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4689
[2025-02-20 17:06:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4611
[2025-02-20 17:06:38] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4767
[2025-02-20 17:06:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4533
[2025-02-20 17:07:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [30/50] - Train Loss: 2.4797
[2025-02-20 17:07:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:07:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4845
[2025-02-20 17:07:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4845
[2025-02-20 17:07:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5080
[2025-02-20 17:08:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4845
[2025-02-20 17:08:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 17:08:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [31/50] - Train Loss: 2.4797
[2025-02-20 17:08:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:08:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4924
[2025-02-20 17:08:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5314
[2025-02-20 17:09:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4767
[2025-02-20 17:09:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4689
[2025-02-20 17:09:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4377
[2025-02-20 17:09:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [32/50] - Train Loss: 2.4797
[2025-02-20 17:09:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:09:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5158
[2025-02-20 17:10:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4845
[2025-02-20 17:10:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4533
[2025-02-20 17:10:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4767
[2025-02-20 17:11:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4299
[2025-02-20 17:11:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [33/50] - Train Loss: 2.4797
[2025-02-20 17:11:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:11:19] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5080
[2025-02-20 17:11:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4845
[2025-02-20 17:11:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4299
[2025-02-20 17:12:13] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5080
[2025-02-20 17:12:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4611
[2025-02-20 17:12:41] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [34/50] - Train Loss: 2.4797
[2025-02-20 17:12:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:12:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4455
[2025-02-20 17:13:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4377
[2025-02-20 17:13:18] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4924
[2025-02-20 17:13:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 17:13:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5002
[2025-02-20 17:14:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [35/50] - Train Loss: 2.4797
[2025-02-20 17:14:05] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:14:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4689
[2025-02-20 17:14:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4845
[2025-02-20 17:14:40] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4924
[2025-02-20 17:14:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4845
[2025-02-20 17:15:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4611
[2025-02-20 17:15:26] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [36/50] - Train Loss: 2.4797
[2025-02-20 17:15:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:15:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5080
[2025-02-20 17:15:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4924
[2025-02-20 17:16:02] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4377
[2025-02-20 17:16:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.5002
[2025-02-20 17:16:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 17:16:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [37/50] - Train Loss: 2.4796
[2025-02-20 17:16:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:16:50] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4611
[2025-02-20 17:17:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.5080
[2025-02-20 17:17:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5080
[2025-02-20 17:17:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4611
[2025-02-20 17:17:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4845
[2025-02-20 17:18:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [38/50] - Train Loss: 2.4796
[2025-02-20 17:18:11] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 9.58%
[2025-02-20 17:18:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4689
[2025-02-20 17:18:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4532
[2025-02-20 17:18:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4923
[2025-02-20 17:19:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4842
[2025-02-20 17:19:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.0532
[2025-02-20 17:19:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [39/50] - Train Loss: 2.3945
[2025-02-20 17:19:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 55.11%
[2025-02-20 17:19:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.0163
[2025-02-20 17:19:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.9998
[2025-02-20 17:20:09] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.1161
[2025-02-20 17:20:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.0541
[2025-02-20 17:20:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.8906
[2025-02-20 17:20:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [40/50] - Train Loss: 2.0056
[2025-02-20 17:20:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 54.58%
[2025-02-20 17:20:58] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.0546
[2025-02-20 17:21:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.0389
[2025-02-20 17:21:33] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.0703
[2025-02-20 17:21:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.0469
[2025-02-20 17:22:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.0937
[2025-02-20 17:22:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [41/50] - Train Loss: 2.0254
[2025-02-20 17:22:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 56.48%
[2025-02-20 17:22:21] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.0391
[2025-02-20 17:22:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.0701
[2025-02-20 17:22:56] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.0079
[2025-02-20 17:23:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.0469
[2025-02-20 17:23:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.0547
[2025-02-20 17:23:43] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [42/50] - Train Loss: 2.0340
[2025-02-20 17:23:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 55.77%
[2025-02-20 17:23:45] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.9762
[2025-02-20 17:24:03] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.0548
[2025-02-20 17:24:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.0001
[2025-02-20 17:24:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.0391
[2025-02-20 17:24:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.1016
[2025-02-20 17:25:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [43/50] - Train Loss: 2.0190
[2025-02-20 17:25:07] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 49.03%
[2025-02-20 17:25:08] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.0780
[2025-02-20 17:25:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.9374
[2025-02-20 17:25:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.9454
[2025-02-20 17:25:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.0235
[2025-02-20 17:26:16] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.0082
[2025-02-20 17:26:28] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [44/50] - Train Loss: 2.0353
[2025-02-20 17:26:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 61.87%
[2025-02-20 17:26:29] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 1.9373
[2025-02-20 17:26:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.9379
[2025-02-20 17:27:04] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.9454
[2025-02-20 17:27:22] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.8827
[2025-02-20 17:27:39] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 1.9690
[2025-02-20 17:27:51] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [45/50] - Train Loss: 1.9478
[2025-02-20 17:27:52] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 60.25%
[2025-02-20 17:27:53] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.0082
[2025-02-20 17:28:10] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 1.9902
[2025-02-20 17:28:27] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 1.9998
[2025-02-20 17:28:44] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 1.9533
[2025-02-20 17:29:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.2346
[2025-02-20 17:29:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [46/50] - Train Loss: 2.0558
[2025-02-20 17:29:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 26.45%
[2025-02-20 17:29:14] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.3208
[2025-02-20 17:29:31] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.3286
[2025-02-20 17:29:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.1881
[2025-02-20 17:30:06] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.2113
[2025-02-20 17:30:23] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.2348
[2025-02-20 17:30:35] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [47/50] - Train Loss: 2.2846
[2025-02-20 17:30:36] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 10.32%
[2025-02-20 17:30:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4765
[2025-02-20 17:30:55] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4921
[2025-02-20 17:31:13] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4531
[2025-02-20 17:31:30] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4765
[2025-02-20 17:31:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.5000
[2025-02-20 17:32:00] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [48/50] - Train Loss: 2.4788
[2025-02-20 17:32:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 10.32%
[2025-02-20 17:32:01] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.4140
[2025-02-20 17:32:20] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4687
[2025-02-20 17:32:37] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.4765
[2025-02-20 17:32:54] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4609
[2025-02-20 17:33:12] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4609
[2025-02-20 17:33:24] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [49/50] - Train Loss: 2.4788
[2025-02-20 17:33:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 10.32%
[2025-02-20 17:33:25] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 0, Loss: 2.5000
[2025-02-20 17:33:42] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 100, Loss: 2.4921
[2025-02-20 17:33:59] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 200, Loss: 2.5000
[2025-02-20 17:34:17] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 300, Loss: 2.4531
[2025-02-20 17:34:34] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Batch 400, Loss: 2.4765
[2025-02-20 17:34:46] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Epoch [50/50] - Train Loss: 2.4788
[2025-02-20 17:34:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Test Accuracy: 10.32%
[2025-02-20 17:34:47] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Model saved at: ./models/MNIST_AIR_PGD_task1.pt
[2025-02-20 17:34:48] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Clean Accuracy after Task 2, Attack=PGD: 10.32%
[2025-02-20 17:34:49] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Robust Accuracy on FGSM after Task 2: 10.32%
[2025-02-20 17:34:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Robust Accuracy on PGD after Task 2: 10.32%
[2025-02-20 17:34:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] === All tasks completed! ===
[2025-02-20 17:34:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] === Final Results ===
[2025-02-20 17:34:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] []
[2025-02-20 17:34:57] [MNIST-AIR-('FGSM', 'PGD')] [INFO] Done!
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