[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!