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[2025-02-21 08:42:14] [MNIST-AIR-('None', 'FGSM')] [INFO] === Configuration ===
[2025-02-21 08:42:14] [MNIST-AIR-('None', 'FGSM')] [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=('None', 'FGSM'))
[2025-02-21 08:42:25] [MNIST-AIR-('None', 'FGSM')] [INFO] --- Task 1 / 2: Attack = None ---
[2025-02-21 08:42:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Using AIR Defense...
[2025-02-21 08:42:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 2.3030
[2025-02-21 08:42:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 2.3027
[2025-02-21 08:42:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 2.3032
[2025-02-21 08:42:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 2.3017
[2025-02-21 08:42:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 2.3015
[2025-02-21 08:43:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [1/50] - Train Loss: 2.3023
[2025-02-21 08:43:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 12.09%
[2025-02-21 08:43:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 2.3019
[2025-02-21 08:43:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 2.3017
[2025-02-21 08:43:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 2.3003
[2025-02-21 08:43:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 2.2945
[2025-02-21 08:43:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.8617
[2025-02-21 08:43:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [2/50] - Train Loss: 2.2042
[2025-02-21 08:43:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 76.65%
[2025-02-21 08:43:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.8374
[2025-02-21 08:43:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.6515
[2025-02-21 08:43:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.6689
[2025-02-21 08:44:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.6059
[2025-02-21 08:44:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.6110
[2025-02-21 08:44:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [3/50] - Train Loss: 1.6460
[2025-02-21 08:44:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 95.52%
[2025-02-21 08:44:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5853
[2025-02-21 08:44:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5379
[2025-02-21 08:44:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5786
[2025-02-21 08:44:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5914
[2025-02-21 08:44:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5504
[2025-02-21 08:44:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [4/50] - Train Loss: 1.5677
[2025-02-21 08:44:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 97.80%
[2025-02-21 08:44:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5251
[2025-02-21 08:45:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5487
[2025-02-21 08:45:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5633
[2025-02-21 08:45:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5264
[2025-02-21 08:45:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5486
[2025-02-21 08:45:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [5/50] - Train Loss: 1.5502
[2025-02-21 08:45:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 97.92%
[2025-02-21 08:45:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5764
[2025-02-21 08:45:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5181
[2025-02-21 08:45:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5652
[2025-02-21 08:46:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5102
[2025-02-21 08:46:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5704
[2025-02-21 08:46:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [6/50] - Train Loss: 1.5382
[2025-02-21 08:46:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.36%
[2025-02-21 08:46:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5477
[2025-02-21 08:46:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5452
[2025-02-21 08:46:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5223
[2025-02-21 08:46:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5072
[2025-02-21 08:46:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5104
[2025-02-21 08:46:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [7/50] - Train Loss: 1.5286
[2025-02-21 08:46:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.54%
[2025-02-21 08:46:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5104
[2025-02-21 08:46:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5115
[2025-02-21 08:47:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5190
[2025-02-21 08:47:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5618
[2025-02-21 08:47:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4940
[2025-02-21 08:47:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [8/50] - Train Loss: 1.5181
[2025-02-21 08:47:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.80%
[2025-02-21 08:47:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5114
[2025-02-21 08:47:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5095
[2025-02-21 08:47:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5010
[2025-02-21 08:47:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5063
[2025-02-21 08:48:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4970
[2025-02-21 08:48:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [9/50] - Train Loss: 1.5106
[2025-02-21 08:48:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.67%
[2025-02-21 08:48:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4937
[2025-02-21 08:48:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4870
[2025-02-21 08:48:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5333
[2025-02-21 08:48:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5059
[2025-02-21 08:48:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4932
[2025-02-21 08:48:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [10/50] - Train Loss: 1.5039
[2025-02-21 08:48:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.99%
[2025-02-21 08:48:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4772
[2025-02-21 08:48:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4895
[2025-02-21 08:49:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4886
[2025-02-21 08:49:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4921
[2025-02-21 08:49:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4744
[2025-02-21 08:49:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [11/50] - Train Loss: 1.5001
[2025-02-21 08:49:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.70%
[2025-02-21 08:49:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4854
[2025-02-21 08:49:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5019
[2025-02-21 08:49:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4757
[2025-02-21 08:49:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5018
[2025-02-21 08:49:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4895
[2025-02-21 08:49:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [12/50] - Train Loss: 1.4963
[2025-02-21 08:50:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.81%
[2025-02-21 08:50:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4983
[2025-02-21 08:50:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4766
[2025-02-21 08:50:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4850
[2025-02-21 08:50:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4953
[2025-02-21 08:50:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4966
[2025-02-21 08:50:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [13/50] - Train Loss: 1.4947
[2025-02-21 08:50:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.78%
[2025-02-21 08:50:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5017
[2025-02-21 08:50:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4801
[2025-02-21 08:50:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4860
[2025-02-21 08:51:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4953
[2025-02-21 08:51:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5094
[2025-02-21 08:51:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [14/50] - Train Loss: 1.4944
[2025-02-21 08:51:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.86%
[2025-02-21 08:51:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4845
[2025-02-21 08:51:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4757
[2025-02-21 08:51:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4818
[2025-02-21 08:51:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4852
[2025-02-21 08:51:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5385
[2025-02-21 08:51:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [15/50] - Train Loss: 1.4914
[2025-02-21 08:51:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.60%
[2025-02-21 08:51:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5187
[2025-02-21 08:51:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4688
[2025-02-21 08:52:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4844
[2025-02-21 08:52:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5114
[2025-02-21 08:52:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4807
[2025-02-21 08:52:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [16/50] - Train Loss: 1.4894
[2025-02-21 08:52:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.98%
[2025-02-21 08:52:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4669
[2025-02-21 08:52:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5298
[2025-02-21 08:52:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4905
[2025-02-21 08:52:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4774
[2025-02-21 08:53:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4691
[2025-02-21 08:53:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [17/50] - Train Loss: 1.4863
[2025-02-21 08:53:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 08:53:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4701
[2025-02-21 08:53:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5198
[2025-02-21 08:53:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4785
[2025-02-21 08:53:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4823
[2025-02-21 08:53:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4821
[2025-02-21 08:53:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [18/50] - Train Loss: 1.4867
[2025-02-21 08:53:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.03%
[2025-02-21 08:53:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4760
[2025-02-21 08:53:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4789
[2025-02-21 08:53:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4797
[2025-02-21 08:54:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4793
[2025-02-21 08:54:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5328
[2025-02-21 08:54:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [19/50] - Train Loss: 1.4878
[2025-02-21 08:54:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.98%
[2025-02-21 08:54:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5018
[2025-02-21 08:54:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4769
[2025-02-21 08:54:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4761
[2025-02-21 08:54:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5051
[2025-02-21 08:54:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4815
[2025-02-21 08:54:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [20/50] - Train Loss: 1.4840
[2025-02-21 08:54:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.82%
[2025-02-21 08:54:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5121
[2025-02-21 08:55:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4732
[2025-02-21 08:55:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4786
[2025-02-21 08:55:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4649
[2025-02-21 08:55:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4686
[2025-02-21 08:55:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [21/50] - Train Loss: 1.4826
[2025-02-21 08:55:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 08:55:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4874
[2025-02-21 08:55:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5088
[2025-02-21 08:55:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4872
[2025-02-21 08:55:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4861
[2025-02-21 08:56:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4702
[2025-02-21 08:56:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [22/50] - Train Loss: 1.4837
[2025-02-21 08:56:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.01%
[2025-02-21 08:56:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4797
[2025-02-21 08:56:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4727
[2025-02-21 08:56:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5090
[2025-02-21 08:56:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4754
[2025-02-21 08:56:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4721
[2025-02-21 08:56:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [23/50] - Train Loss: 1.4845
[2025-02-21 08:56:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.99%
[2025-02-21 08:56:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4706
[2025-02-21 08:56:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5077
[2025-02-21 08:57:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4663
[2025-02-21 08:57:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5366
[2025-02-21 08:57:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4687
[2025-02-21 08:57:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [24/50] - Train Loss: 1.4797
[2025-02-21 08:57:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.96%
[2025-02-21 08:57:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4712
[2025-02-21 08:57:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4645
[2025-02-21 08:57:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4978
[2025-02-21 08:57:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5089
[2025-02-21 08:57:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5475
[2025-02-21 08:58:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [25/50] - Train Loss: 1.4795
[2025-02-21 08:58:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.05%
[2025-02-21 08:58:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4669
[2025-02-21 08:58:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4663
[2025-02-21 08:58:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4723
[2025-02-21 08:58:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4671
[2025-02-21 08:58:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4643
[2025-02-21 08:58:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [26/50] - Train Loss: 1.4782
[2025-02-21 08:58:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.98%
[2025-02-21 08:58:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4993
[2025-02-21 08:58:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4721
[2025-02-21 08:58:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4661
[2025-02-21 08:59:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4651
[2025-02-21 08:59:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4766
[2025-02-21 08:59:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [27/50] - Train Loss: 1.4779
[2025-02-21 08:59:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.93%
[2025-02-21 08:59:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5471
[2025-02-21 08:59:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4732
[2025-02-21 08:59:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4670
[2025-02-21 08:59:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4658
[2025-02-21 08:59:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4743
[2025-02-21 08:59:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [28/50] - Train Loss: 1.4773
[2025-02-21 08:59:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.04%
[2025-02-21 08:59:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4657
[2025-02-21 09:00:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4635
[2025-02-21 09:00:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5008
[2025-02-21 09:00:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4741
[2025-02-21 09:00:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4649
[2025-02-21 09:00:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [29/50] - Train Loss: 1.4780
[2025-02-21 09:00:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.99%
[2025-02-21 09:00:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5249
[2025-02-21 09:00:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4771
[2025-02-21 09:00:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4707
[2025-02-21 09:00:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4665
[2025-02-21 09:01:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4640
[2025-02-21 09:01:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [30/50] - Train Loss: 1.4771
[2025-02-21 09:01:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.96%
[2025-02-21 09:01:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4666
[2025-02-21 09:01:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4741
[2025-02-21 09:01:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4705
[2025-02-21 09:01:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4734
[2025-02-21 09:01:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5236
[2025-02-21 09:01:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [31/50] - Train Loss: 1.4761
[2025-02-21 09:01:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.04%
[2025-02-21 09:01:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4713
[2025-02-21 09:01:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4850
[2025-02-21 09:02:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4634
[2025-02-21 09:02:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4724
[2025-02-21 09:02:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4623
[2025-02-21 09:02:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [32/50] - Train Loss: 1.4766
[2025-02-21 09:02:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.09%
[2025-02-21 09:02:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4663
[2025-02-21 09:02:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5245
[2025-02-21 09:02:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4633
[2025-02-21 09:02:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5328
[2025-02-21 09:02:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4663
[2025-02-21 09:03:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [33/50] - Train Loss: 1.4884
[2025-02-21 09:03:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.90%
[2025-02-21 09:03:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4789
[2025-02-21 09:03:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4762
[2025-02-21 09:03:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4842
[2025-02-21 09:03:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4645
[2025-02-21 09:03:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4693
[2025-02-21 09:03:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [34/50] - Train Loss: 1.4772
[2025-02-21 09:03:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 09:03:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4714
[2025-02-21 09:03:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4681
[2025-02-21 09:03:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4770
[2025-02-21 09:04:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5245
[2025-02-21 09:04:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5223
[2025-02-21 09:04:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [35/50] - Train Loss: 1.4747
[2025-02-21 09:04:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.08%
[2025-02-21 09:04:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5000
[2025-02-21 09:04:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4643
[2025-02-21 09:04:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4855
[2025-02-21 09:04:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4662
[2025-02-21 09:04:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5226
[2025-02-21 09:04:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [36/50] - Train Loss: 1.4751
[2025-02-21 09:04:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.01%
[2025-02-21 09:04:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4635
[2025-02-21 09:05:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4638
[2025-02-21 09:05:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4662
[2025-02-21 09:05:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4712
[2025-02-21 09:05:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4726
[2025-02-21 09:05:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [37/50] - Train Loss: 1.4743
[2025-02-21 09:05:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.05%
[2025-02-21 09:05:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4770
[2025-02-21 09:05:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4675
[2025-02-21 09:05:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4633
[2025-02-21 09:05:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4647
[2025-02-21 09:06:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4686
[2025-02-21 09:06:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [38/50] - Train Loss: 1.4756
[2025-02-21 09:06:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.95%
[2025-02-21 09:06:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4670
[2025-02-21 09:06:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4649
[2025-02-21 09:06:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4685
[2025-02-21 09:06:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4702
[2025-02-21 09:06:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4704
[2025-02-21 09:06:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [39/50] - Train Loss: 1.4756
[2025-02-21 09:06:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.84%
[2025-02-21 09:06:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4821
[2025-02-21 09:06:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4691
[2025-02-21 09:07:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4712
[2025-02-21 09:07:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4646
[2025-02-21 09:07:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4655
[2025-02-21 09:07:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [40/50] - Train Loss: 1.4737
[2025-02-21 09:07:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.20%
[2025-02-21 09:07:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4672
[2025-02-21 09:07:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5227
[2025-02-21 09:07:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4643
[2025-02-21 09:07:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4639
[2025-02-21 09:08:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 09:08:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [41/50] - Train Loss: 1.4745
[2025-02-21 09:08:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.03%
[2025-02-21 09:08:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4779
[2025-02-21 09:08:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5044
[2025-02-21 09:08:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5218
[2025-02-21 09:08:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4637
[2025-02-21 09:08:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4626
[2025-02-21 09:08:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [42/50] - Train Loss: 1.4765
[2025-02-21 09:08:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 09:08:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4623
[2025-02-21 09:08:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4684
[2025-02-21 09:08:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5313
[2025-02-21 09:09:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5003
[2025-02-21 09:09:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4649
[2025-02-21 09:09:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [43/50] - Train Loss: 1.4744
[2025-02-21 09:09:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.96%
[2025-02-21 09:09:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4639
[2025-02-21 09:09:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4670
[2025-02-21 09:09:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4908
[2025-02-21 09:09:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5236
[2025-02-21 09:09:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4724
[2025-02-21 09:09:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [44/50] - Train Loss: 1.4758
[2025-02-21 09:09:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.07%
[2025-02-21 09:09:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4686
[2025-02-21 09:10:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4652
[2025-02-21 09:10:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4644
[2025-02-21 09:10:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4652
[2025-02-21 09:10:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4682
[2025-02-21 09:10:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [45/50] - Train Loss: 1.4748
[2025-02-21 09:10:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.08%
[2025-02-21 09:10:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4724
[2025-02-21 09:10:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4832
[2025-02-21 09:10:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4629
[2025-02-21 09:10:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4627
[2025-02-21 09:11:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4839
[2025-02-21 09:11:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [46/50] - Train Loss: 1.4742
[2025-02-21 09:11:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.09%
[2025-02-21 09:11:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4651
[2025-02-21 09:11:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4701
[2025-02-21 09:11:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4706
[2025-02-21 09:11:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4656
[2025-02-21 09:11:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4784
[2025-02-21 09:11:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [47/50] - Train Loss: 1.4730
[2025-02-21 09:11:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.12%
[2025-02-21 09:11:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4672
[2025-02-21 09:11:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4649
[2025-02-21 09:12:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5223
[2025-02-21 09:12:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4748
[2025-02-21 09:12:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4641
[2025-02-21 09:12:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [48/50] - Train Loss: 1.4761
[2025-02-21 09:12:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.86%
[2025-02-21 09:12:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4734
[2025-02-21 09:12:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4661
[2025-02-21 09:12:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4646
[2025-02-21 09:12:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4630
[2025-02-21 09:12:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4748
[2025-02-21 09:13:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [49/50] - Train Loss: 1.4754
[2025-02-21 09:13:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.09%
[2025-02-21 09:13:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4656
[2025-02-21 09:13:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4732
[2025-02-21 09:13:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5239
[2025-02-21 09:13:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4633
[2025-02-21 09:13:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4720
[2025-02-21 09:13:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [50/50] - Train Loss: 1.4734
[2025-02-21 09:13:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.22%
[2025-02-21 09:13:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Model saved at: ./models/MNIST_AIR_None_task0.pt
[2025-02-21 09:13:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Accuracy after Task 1, Attack=None: 99.22%
[2025-02-21 09:13:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Robust Accuracy on None after Task 1: 99.22%
[2025-02-21 09:13:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Robust Accuracy on FGSM after Task 1: 9.39%
[2025-02-21 09:13:44] [MNIST-AIR-('None', 'FGSM')] [INFO] --- Task 2 / 2: Attack = FGSM ---
[2025-02-21 09:13:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Using AIR Defense...
[2025-02-21 09:13:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 2.3034
[2025-02-21 09:13:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 2.1949
[2025-02-21 09:14:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.6404
[2025-02-21 09:14:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.6175
[2025-02-21 09:14:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5631
[2025-02-21 09:14:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [1/50] - Train Loss: 1.8168
[2025-02-21 09:14:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.34%
[2025-02-21 09:14:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5370
[2025-02-21 09:14:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5285
[2025-02-21 09:14:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5393
[2025-02-21 09:14:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5764
[2025-02-21 09:14:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5340
[2025-02-21 09:14:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [2/50] - Train Loss: 1.5500
[2025-02-21 09:15:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.57%
[2025-02-21 09:15:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4951
[2025-02-21 09:15:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4954
[2025-02-21 09:15:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5036
[2025-02-21 09:15:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4966
[2025-02-21 09:15:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4906
[2025-02-21 09:15:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [3/50] - Train Loss: 1.5111
[2025-02-21 09:15:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.77%
[2025-02-21 09:15:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4876
[2025-02-21 09:15:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5201
[2025-02-21 09:15:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5091
[2025-02-21 09:16:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4906
[2025-02-21 09:16:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4905
[2025-02-21 09:16:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [4/50] - Train Loss: 1.5036
[2025-02-21 09:16:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.82%
[2025-02-21 09:16:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5044
[2025-02-21 09:16:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5324
[2025-02-21 09:16:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4895
[2025-02-21 09:16:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5153
[2025-02-21 09:16:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4860
[2025-02-21 09:16:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [5/50] - Train Loss: 1.4990
[2025-02-21 09:16:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.94%
[2025-02-21 09:16:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4720
[2025-02-21 09:17:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5305
[2025-02-21 09:17:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4907
[2025-02-21 09:17:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5453
[2025-02-21 09:17:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4720
[2025-02-21 09:17:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [6/50] - Train Loss: 1.4952
[2025-02-21 09:17:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.02%
[2025-02-21 09:17:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4815
[2025-02-21 09:17:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5458
[2025-02-21 09:17:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5257
[2025-02-21 09:18:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4756
[2025-02-21 09:18:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4731
[2025-02-21 09:18:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [7/50] - Train Loss: 1.4943
[2025-02-21 09:18:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.90%
[2025-02-21 09:18:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4946
[2025-02-21 09:18:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4719
[2025-02-21 09:18:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4826
[2025-02-21 09:18:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4873
[2025-02-21 09:18:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4653
[2025-02-21 09:18:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [8/50] - Train Loss: 1.4949
[2025-02-21 09:18:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.78%
[2025-02-21 09:18:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4812
[2025-02-21 09:19:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4948
[2025-02-21 09:19:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4777
[2025-02-21 09:19:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4817
[2025-02-21 09:19:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4712
[2025-02-21 09:19:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [9/50] - Train Loss: 1.4912
[2025-02-21 09:19:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.90%
[2025-02-21 09:19:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4844
[2025-02-21 09:19:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5208
[2025-02-21 09:19:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5458
[2025-02-21 09:19:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4755
[2025-02-21 09:20:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5433
[2025-02-21 09:20:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [10/50] - Train Loss: 1.4915
[2025-02-21 09:20:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.12%
[2025-02-21 09:20:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4678
[2025-02-21 09:20:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5145
[2025-02-21 09:20:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4992
[2025-02-21 09:20:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4717
[2025-02-21 09:20:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4750
[2025-02-21 09:20:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [11/50] - Train Loss: 1.4906
[2025-02-21 09:20:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.03%
[2025-02-21 09:20:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4845
[2025-02-21 09:20:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4762
[2025-02-21 09:21:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4637
[2025-02-21 09:21:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5231
[2025-02-21 09:21:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4872
[2025-02-21 09:21:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [12/50] - Train Loss: 1.4894
[2025-02-21 09:21:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.13%
[2025-02-21 09:21:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4799
[2025-02-21 09:21:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4729
[2025-02-21 09:21:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5012
[2025-02-21 09:21:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4804
[2025-02-21 09:21:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4721
[2025-02-21 09:22:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [13/50] - Train Loss: 1.4864
[2025-02-21 09:22:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 09:22:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5042
[2025-02-21 09:22:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4637
[2025-02-21 09:22:22] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4867
[2025-02-21 09:22:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4803
[2025-02-21 09:22:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4741
[2025-02-21 09:22:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [14/50] - Train Loss: 1.4845
[2025-02-21 09:22:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 09:22:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4641
[2025-02-21 09:22:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4784
[2025-02-21 09:23:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5275
[2025-02-21 09:23:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4857
[2025-02-21 09:23:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4791
[2025-02-21 09:23:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [15/50] - Train Loss: 1.4850
[2025-02-21 09:23:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.99%
[2025-02-21 09:23:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4670
[2025-02-21 09:23:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5144
[2025-02-21 09:23:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4698
[2025-02-21 09:23:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5270
[2025-02-21 09:23:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5326
[2025-02-21 09:24:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [16/50] - Train Loss: 1.4847
[2025-02-21 09:24:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-21 09:24:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5171
[2025-02-21 09:24:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5254
[2025-02-21 09:24:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4872
[2025-02-21 09:24:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4770
[2025-02-21 09:24:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4717
[2025-02-21 09:24:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [17/50] - Train Loss: 1.4839
[2025-02-21 09:24:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-21 09:24:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4685
[2025-02-21 09:24:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4792
[2025-02-21 09:24:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4696
[2025-02-21 09:25:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4655
[2025-02-21 09:25:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4867
[2025-02-21 09:25:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [18/50] - Train Loss: 1.4843
[2025-02-21 09:25:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.20%
[2025-02-21 09:25:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4649
[2025-02-21 09:25:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4677
[2025-02-21 09:25:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4801
[2025-02-21 09:25:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4748
[2025-02-21 09:25:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4986
[2025-02-21 09:25:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [19/50] - Train Loss: 1.4842
[2025-02-21 09:25:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-21 09:25:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4781
[2025-02-21 09:26:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4808
[2025-02-21 09:26:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4721
[2025-02-21 09:26:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5048
[2025-02-21 09:26:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5334
[2025-02-21 09:26:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [20/50] - Train Loss: 1.4835
[2025-02-21 09:26:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.07%
[2025-02-21 09:26:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5303
[2025-02-21 09:26:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4682
[2025-02-21 09:26:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4689
[2025-02-21 09:27:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4773
[2025-02-21 09:27:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4665
[2025-02-21 09:27:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [21/50] - Train Loss: 1.4822
[2025-02-21 09:27:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.23%
[2025-02-21 09:27:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4959
[2025-02-21 09:27:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4716
[2025-02-21 09:27:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5210
[2025-02-21 09:27:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4653
[2025-02-21 09:27:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5328
[2025-02-21 09:27:56] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [22/50] - Train Loss: 1.4823
[2025-02-21 09:27:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.02%
[2025-02-21 09:27:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4764
[2025-02-21 09:28:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4764
[2025-02-21 09:28:13] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4764
[2025-02-21 09:28:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4689
[2025-02-21 09:28:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4792
[2025-02-21 09:28:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [23/50] - Train Loss: 1.4820
[2025-02-21 09:28:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.17%
[2025-02-21 09:28:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4697
[2025-02-21 09:28:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5423
[2025-02-21 09:28:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4778
[2025-02-21 09:29:01] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4772
[2025-02-21 09:29:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4861
[2025-02-21 09:29:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [24/50] - Train Loss: 1.4807
[2025-02-21 09:29:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 09:29:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5108
[2025-02-21 09:29:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4907
[2025-02-21 09:29:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4649
[2025-02-21 09:29:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4648
[2025-02-21 09:29:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5275
[2025-02-21 09:29:53] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [25/50] - Train Loss: 1.4806
[2025-02-21 09:29:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.12%
[2025-02-21 09:29:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5065
[2025-02-21 09:30:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4912
[2025-02-21 09:30:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5232
[2025-02-21 09:30:18] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4728
[2025-02-21 09:30:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4909
[2025-02-21 09:30:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [26/50] - Train Loss: 1.4828
[2025-02-21 09:30:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 09:30:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4798
[2025-02-21 09:30:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4717
[2025-02-21 09:30:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5013
[2025-02-21 09:30:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5254
[2025-02-21 09:31:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4758
[2025-02-21 09:31:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [27/50] - Train Loss: 1.4802
[2025-02-21 09:31:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.27%
[2025-02-21 09:31:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5219
[2025-02-21 09:31:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4751
[2025-02-21 09:31:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4660
[2025-02-21 09:31:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4680
[2025-02-21 09:31:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4695
[2025-02-21 09:31:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [28/50] - Train Loss: 1.4805
[2025-02-21 09:31:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 09:31:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5234
[2025-02-21 09:32:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4896
[2025-02-21 09:32:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4724
[2025-02-21 09:32:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4658
[2025-02-21 09:32:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5234
[2025-02-21 09:32:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [29/50] - Train Loss: 1.4816
[2025-02-21 09:32:30] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-21 09:32:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5237
[2025-02-21 09:32:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4694
[2025-02-21 09:32:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4635
[2025-02-21 09:32:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4885
[2025-02-21 09:33:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 09:33:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [30/50] - Train Loss: 1.4803
[2025-02-21 09:33:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.07%
[2025-02-21 09:33:09] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4678
[2025-02-21 09:33:16] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4662
[2025-02-21 09:33:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4706
[2025-02-21 09:33:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4675
[2025-02-21 09:33:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4697
[2025-02-21 09:33:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [31/50] - Train Loss: 1.4821
[2025-02-21 09:33:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 98.94%
[2025-02-21 09:33:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4749
[2025-02-21 09:33:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4731
[2025-02-21 09:34:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4802
[2025-02-21 09:34:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5018
[2025-02-21 09:34:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 09:34:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [32/50] - Train Loss: 1.4827
[2025-02-21 09:34:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-21 09:34:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4707
[2025-02-21 09:34:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4812
[2025-02-21 09:34:43] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5294
[2025-02-21 09:34:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4640
[2025-02-21 09:35:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4717
[2025-02-21 09:35:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [33/50] - Train Loss: 1.4803
[2025-02-21 09:35:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.22%
[2025-02-21 09:35:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4744
[2025-02-21 09:35:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4749
[2025-02-21 09:35:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4631
[2025-02-21 09:35:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4669
[2025-02-21 09:35:39] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4752
[2025-02-21 09:35:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [34/50] - Train Loss: 1.4821
[2025-02-21 09:35:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.18%
[2025-02-21 09:35:46] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4652
[2025-02-21 09:35:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4672
[2025-02-21 09:36:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4723
[2025-02-21 09:36:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4769
[2025-02-21 09:36:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4648
[2025-02-21 09:36:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [35/50] - Train Loss: 1.4807
[2025-02-21 09:36:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.06%
[2025-02-21 09:36:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4677
[2025-02-21 09:36:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4680
[2025-02-21 09:36:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4681
[2025-02-21 09:36:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4649
[2025-02-21 09:36:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4786
[2025-02-21 09:37:02] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [36/50] - Train Loss: 1.4820
[2025-02-21 09:37:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-21 09:37:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4749
[2025-02-21 09:37:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4668
[2025-02-21 09:37:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4636
[2025-02-21 09:37:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4716
[2025-02-21 09:37:35] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4721
[2025-02-21 09:37:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [37/50] - Train Loss: 1.4797
[2025-02-21 09:37:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.10%
[2025-02-21 09:37:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4676
[2025-02-21 09:37:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4733
[2025-02-21 09:37:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4761
[2025-02-21 09:38:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.5238
[2025-02-21 09:38:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4690
[2025-02-21 09:38:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [38/50] - Train Loss: 1.4796
[2025-02-21 09:38:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.17%
[2025-02-21 09:38:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.5236
[2025-02-21 09:38:29] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5021
[2025-02-21 09:38:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5054
[2025-02-21 09:38:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4771
[2025-02-21 09:38:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4719
[2025-02-21 09:38:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [39/50] - Train Loss: 1.4808
[2025-02-21 09:38:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.14%
[2025-02-21 09:38:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4664
[2025-02-21 09:39:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5233
[2025-02-21 09:39:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4700
[2025-02-21 09:39:23] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4700
[2025-02-21 09:39:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4868
[2025-02-21 09:39:37] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [40/50] - Train Loss: 1.4815
[2025-02-21 09:39:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.07%
[2025-02-21 09:39:38] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4899
[2025-02-21 09:39:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5048
[2025-02-21 09:39:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5084
[2025-02-21 09:40:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4764
[2025-02-21 09:40:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5060
[2025-02-21 09:40:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [41/50] - Train Loss: 1.4847
[2025-02-21 09:40:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.11%
[2025-02-21 09:40:17] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4835
[2025-02-21 09:40:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5232
[2025-02-21 09:40:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4789
[2025-02-21 09:40:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4780
[2025-02-21 09:40:48] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4741
[2025-02-21 09:40:54] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [42/50] - Train Loss: 1.4794
[2025-02-21 09:40:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.15%
[2025-02-21 09:40:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4641
[2025-02-21 09:41:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5256
[2025-02-21 09:41:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5056
[2025-02-21 09:41:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4665
[2025-02-21 09:41:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4662
[2025-02-21 09:41:32] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [43/50] - Train Loss: 1.4789
[2025-02-21 09:41:33] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.16%
[2025-02-21 09:41:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4732
[2025-02-21 09:41:41] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4643
[2025-02-21 09:41:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4716
[2025-02-21 09:41:57] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4633
[2025-02-21 09:42:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.5177
[2025-02-21 09:42:10] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [44/50] - Train Loss: 1.4799
[2025-02-21 09:42:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.21%
[2025-02-21 09:42:12] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4645
[2025-02-21 09:42:20] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4652
[2025-02-21 09:42:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4689
[2025-02-21 09:42:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4687
[2025-02-21 09:42:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4639
[2025-02-21 09:42:49] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [45/50] - Train Loss: 1.4812
[2025-02-21 09:42:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.01%
[2025-02-21 09:42:51] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4971
[2025-02-21 09:42:59] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4661
[2025-02-21 09:43:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4622
[2025-02-21 09:43:14] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4695
[2025-02-21 09:43:21] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4712
[2025-02-21 09:43:27] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [46/50] - Train Loss: 1.4807
[2025-02-21 09:43:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.17%
[2025-02-21 09:43:28] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4686
[2025-02-21 09:43:36] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5378
[2025-02-21 09:43:44] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4733
[2025-02-21 09:43:52] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4628
[2025-02-21 09:44:00] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4966
[2025-02-21 09:44:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [47/50] - Train Loss: 1.4782
[2025-02-21 09:44:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.27%
[2025-02-21 09:44:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4645
[2025-02-21 09:44:15] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.5227
[2025-02-21 09:44:24] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4977
[2025-02-21 09:44:31] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4672
[2025-02-21 09:44:40] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4651
[2025-02-21 09:44:45] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [48/50] - Train Loss: 1.4765
[2025-02-21 09:44:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.18%
[2025-02-21 09:44:47] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4669
[2025-02-21 09:44:55] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4632
[2025-02-21 09:45:03] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.5057
[2025-02-21 09:45:11] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4741
[2025-02-21 09:45:19] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4693
[2025-02-21 09:45:25] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [49/50] - Train Loss: 1.4801
[2025-02-21 09:45:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.17%
[2025-02-21 09:45:26] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 0, Loss: 1.4812
[2025-02-21 09:45:34] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 100, Loss: 1.4665
[2025-02-21 09:45:42] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 200, Loss: 1.4671
[2025-02-21 09:45:50] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 300, Loss: 1.4643
[2025-02-21 09:45:58] [MNIST-AIR-('None', 'FGSM')] [INFO] Batch 400, Loss: 1.4775
[2025-02-21 09:46:04] [MNIST-AIR-('None', 'FGSM')] [INFO] Epoch [50/50] - Train Loss: 1.4796
[2025-02-21 09:46:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Test Accuracy: 99.22%
[2025-02-21 09:46:05] [MNIST-AIR-('None', 'FGSM')] [INFO] Model saved at: ./models/MNIST_AIR_FGSM_task1.pt
[2025-02-21 09:46:06] [MNIST-AIR-('None', 'FGSM')] [INFO] Clean Accuracy after Task 2, Attack=FGSM: 99.22%
[2025-02-21 09:46:07] [MNIST-AIR-('None', 'FGSM')] [INFO] Robust Accuracy on None after Task 2: 99.22%
[2025-02-21 09:46:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Robust Accuracy on FGSM after Task 2: 98.03%
[2025-02-21 09:46:08] [MNIST-AIR-('None', 'FGSM')] [INFO] === All tasks completed! ===
[2025-02-21 09:46:08] [MNIST-AIR-('None', 'FGSM')] [INFO] === Final Results ===
[2025-02-21 09:46:08] [MNIST-AIR-('None', 'FGSM')] [INFO] []
[2025-02-21 09:46:08] [MNIST-AIR-('None', 'FGSM')] [INFO] Done!
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