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2020-01-31 22:13:22 Iteration 3700 Training Loss: 7.887e-02 Loss in Target Net: 1.667e-02 |
2020-01-31 22:13:43 Iteration 3750 Training Loss: 7.797e-02 Loss in Target Net: 1.307e-02 |
2020-01-31 22:14:05 Iteration 3800 Training Loss: 7.979e-02 Loss in Target Net: 9.473e-03 |
2020-01-31 22:14:27 Iteration 3850 Training Loss: 7.800e-02 Loss in Target Net: 1.551e-02 |
2020-01-31 22:14:49 Iteration 3900 Training Loss: 8.124e-02 Loss in Target Net: 7.394e-03 |
2020-01-31 22:15:11 Iteration 3950 Training Loss: 7.681e-02 Loss in Target Net: 1.144e-02 |
2020-01-31 22:15:32 Iteration 3999 Training Loss: 7.465e-02 Loss in Target Net: 1.032e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:36, Epoch 0, Iteration 7, loss 6.488 (5.610), acc 73.077 (66.000) |
2020-01-31 22:15:36, Epoch 30, Iteration 7, loss 0.078 (0.160), acc 98.077 (97.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[39.843655, 6.321704, -37.098614, 17.2741, -7.663865, 7.499462, 62.738777, -55.961845, 60.0083, -100.18249], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 22:15:40 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:15:48 Epoch 59, Val iteration 19, acc 92.800 (92.400) |
* Prec: 92.4000015258789 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:50, Epoch 0, Iteration 7, loss 0.852 (0.827), acc 84.615 (88.000) |
2020-01-31 22:15:50, Epoch 30, Iteration 7, loss 0.118 (0.211), acc 98.077 (96.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[0.08759487, -23.631584, -7.380966, -1.9600276, -1.8618495, -12.012577, 25.134537, -18.437052, 25.578972, -37.500816], Poisons' Predictions:[8, 6, 8, 8, 6] |
2020-01-31 22:15:51 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:15:53 Epoch 59, Val iteration 19, acc 93.000 (91.350) |
* Prec: 91.35000228881836 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:55, Epoch 0, Iteration 7, loss 0.043 (1.220), acc 98.077 (86.800) |
2020-01-31 22:15:55, Epoch 30, Iteration 7, loss 0.002 (0.007), acc 100.000 (99.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-42.921658, -30.908232, -49.927013, -59.35235, -37.321777, -51.076904, 35.37547, -137.45094, 36.56195, -20.721325], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:15:57 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:16:01 Epoch 59, Val iteration 19, acc 92.600 (92.600) |
* Prec: 92.60000190734863 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:03, Epoch 0, Iteration 7, loss 1.410 (2.774), acc 86.538 (72.000) |
2020-01-31 22:16:03, Epoch 30, Iteration 7, loss 0.210 (0.146), acc 96.154 (96.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-28.418251, -15.431685, -10.395195, 3.4847014, -67.54721, -17.973211, 23.502605, -10.248285, 7.4689407, -47.527225], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-01-31 22:16:04 Epoch 59, Val iteration 0, acc 93.400 (93.400) |
2020-01-31 22:16:08 Epoch 59, Val iteration 19, acc 93.200 (92.980) |
* Prec: 92.9800018310547 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:11, Epoch 0, Iteration 7, loss 0.399 (0.536), acc 86.538 (89.000) |
2020-01-31 22:16:11, Epoch 30, Iteration 7, loss 0.036 (0.082), acc 100.000 (97.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-24.065065, -11.63184, -13.549809, -2.8740258, -8.2018175, -4.1629596, 11.153225, -8.684548, 6.6316557, -22.417368], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:16:14 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-01-31 22:16:18 Epoch 59, Val iteration 19, acc 92.000 (91.840) |
* Prec: 91.84000167846679 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:21, Epoch 0, Iteration 7, loss 1.332 (2.807), acc 84.615 (66.800) |
2020-01-31 22:16:21, Epoch 30, Iteration 7, loss 0.189 (0.401), acc 98.077 (92.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-11.675952, -9.021919, -6.563996, 8.637143, -15.237251, -2.3700378, 18.158522, -23.351728, 9.458132, -15.653595], Poisons' Predictions:[8, 8, 6, 6, 8] |
2020-01-31 22:16:22 Epoch 59, Val iteration 0, acc 87.400 (87.400) |
2020-01-31 22:16:24 Epoch 59, Val iteration 19, acc 88.200 (86.550) |
* Prec: 86.55000152587891 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:25, Epoch 0, Iteration 7, loss 0.951 (0.786), acc 92.308 (84.400) |
2020-01-31 22:16:26, Epoch 30, Iteration 7, loss 0.000 (0.237), acc 100.000 (97.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-38.433, -18.126183, -19.580368, 1.5748923, -37.09929, -5.419793, 8.643844, -33.49744, 8.877381, -36.284767], Poisons' Predictions:[6, 8, 8, 6, 6] |
2020-01-31 22:16:26 Epoch 59, Val iteration 0, acc 94.000 (94.000) |
2020-01-31 22:16:28 Epoch 59, Val iteration 19, acc 93.800 (93.000) |
* Prec: 93.00000076293945 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:31, Epoch 0, Iteration 7, loss 0.183 (0.422), acc 96.154 (92.000) |
2020-01-31 22:16:31, Epoch 30, Iteration 7, loss 0.003 (0.008), acc 100.000 (99.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-12.262292, -20.2304, -11.13242, -2.35635, -7.0930033, -6.0494657, 10.808726, -31.548622, 7.350052, -24.818329], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:16:34 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-01-31 22:16:38 Epoch 59, Val iteration 19, acc 92.800 (92.670) |
* Prec: 92.67000198364258 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 28 |
TARGET INDEX: 38 |
DPN92 0 |
SENet18 1 |
ResNet50 1 |
ResNeXt29_2x64d 0 |
GoogLeNet 0 |
MobileNetV2 0 |
ResNet18 1 |
DenseNet121 0 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='3', lr_decay_epoch=[30, 45], mode='mean', model_resume_path='model-chks', nearest=False, net_repeat=1, num_per_class=50, original_grad=True, poison_decay_ites=[], poison_decay_ratio=0.1, poison_epsilon=0.1, poison_ites=4000, poison_label=8, poison_lr=0.04, poison_momentum=0.9, poison_num=5, poison_opt='adam', resume_poison_ite=0, retrain_bsize=64, retrain_epochs=60, retrain_lr=0.1, retrain_momentum=0.9, retrain_opt='adam', retrain_wd=0, subs_chk_name=['ckpt-%s-4800-dp0.200-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.250-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.300-droplayer0.000.t7'], subs_dp=[0.2, 0.25, 0.3], subset_group=0, substitute_nets=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2'], target_index=39, target_label=6, target_net=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2', 'ResNet18', 'DenseNet121'], test_chk_name='ckpt-%s-4800.t7', tol=1e-06, train_data_path='datasets/CIFAR10_TRAIN_Split.pth') |
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