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2020-01-31 21:44:32 Iteration 3900 Training Loss: 7.689e-02 Loss in Target Net: 6.004e-03 |
2020-01-31 21:44:57 Iteration 3950 Training Loss: 7.530e-02 Loss in Target Net: 1.113e-02 |
2020-01-31 21:45:20 Iteration 3999 Training Loss: 7.854e-02 Loss in Target Net: 1.023e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:45:24, Epoch 0, Iteration 7, loss 0.225 (2.600), acc 96.154 (75.400) |
2020-01-31 21:45:25, Epoch 30, Iteration 7, loss 0.249 (0.119), acc 96.154 (97.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-11.769651, -10.181803, -47.65727, 0.19679871, -28.899845, -12.667799, 17.599312, -45.914864, 29.070488, -77.91064], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:45:28 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-01-31 21:45:36 Epoch 59, Val iteration 19, acc 90.200 (91.300) |
* Prec: 91.30000152587891 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:45:38, Epoch 0, Iteration 7, loss 0.418 (0.787), acc 92.308 (86.000) |
2020-01-31 21:45:38, Epoch 30, Iteration 7, loss 0.541 (0.279), acc 90.385 (94.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[1.2527343, -4.7843833, -7.319375, -2.439128, 0.9971739, -7.2921987, 25.172237, -9.770159, 19.723797, -5.2086244], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:45:39 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 21:45:41 Epoch 59, Val iteration 19, acc 93.200 (91.340) |
* Prec: 91.34000129699707 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:45:43, Epoch 0, Iteration 7, loss 1.123 (1.729), acc 98.077 (84.200) |
2020-01-31 21:45:44, Epoch 30, Iteration 7, loss 0.000 (0.000), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-71.22696, -80.13092, -42.167923, -23.598137, -85.288025, -87.685524, -1.1357396, -40.30353, 6.767965, -30.466745], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:45:45 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 21:45:49 Epoch 59, Val iteration 19, acc 92.800 (92.570) |
* Prec: 92.5700023651123 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:45:51, Epoch 0, Iteration 7, loss 1.054 (2.147), acc 90.385 (75.600) |
2020-01-31 21:45:52, Epoch 30, Iteration 7, loss 0.000 (0.040), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-22.877842, -13.457888, -7.9417315, 8.790048, -53.740334, -20.244963, 6.1878595, -13.640902, 10.512594, -26.224215], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:45:53 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 21:45:57 Epoch 59, Val iteration 19, acc 93.200 (93.030) |
* Prec: 93.03000183105469 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:46:00, Epoch 0, Iteration 7, loss 0.460 (0.438), acc 86.538 (90.200) |
2020-01-31 21:46:00, Epoch 30, Iteration 7, loss 0.055 (0.089), acc 98.077 (97.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-24.854008, -9.110636, -8.374095, -4.18517, -18.652868, -5.7633114, 11.143819, -6.9751263, 13.027066, -29.149815], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:46:02 Epoch 59, Val iteration 0, acc 90.400 (90.400) |
2020-01-31 21:46:07 Epoch 59, Val iteration 19, acc 91.800 (91.850) |
* Prec: 91.85000114440918 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:46:10, Epoch 0, Iteration 7, loss 1.260 (3.617), acc 82.692 (61.000) |
2020-01-31 21:46:10, Epoch 30, Iteration 7, loss 0.069 (0.173), acc 96.154 (93.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-3.653383, -2.2894819, 4.357522, 4.987419, -47.505962, -1.0299058, -1.804732, -14.436726, 20.411299, -31.191866], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:46:11 Epoch 59, Val iteration 0, acc 87.000 (87.000) |
2020-01-31 21:46:13 Epoch 59, Val iteration 19, acc 88.200 (86.620) |
* Prec: 86.62000198364258 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:46:15, Epoch 0, Iteration 7, loss 1.466 (0.672), acc 92.308 (88.400) |
2020-01-31 21:46:15, Epoch 30, Iteration 7, loss 0.050 (0.079), acc 98.077 (97.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-24.85295, 0.21682227, -21.86266, 3.4915836, -46.28579, -3.0572925, 10.555878, -8.506144, 12.314025, -33.083942], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 21:46:15 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 21:46:17 Epoch 59, Val iteration 19, acc 93.600 (92.620) |
* Prec: 92.62000045776367 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:46:21, Epoch 0, Iteration 7, loss 0.140 (0.394), acc 94.231 (91.000) |
2020-01-31 21:46:22, Epoch 30, Iteration 7, loss 0.001 (0.002), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.010799, -17.31635, -13.997874, -4.0496125, -9.699477, -6.6537795, 4.3439245, -43.330868, 2.356351, -14.639291], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:46:24 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-01-31 21:46:28 Epoch 59, Val iteration 19, acc 93.400 (92.970) |
* Prec: 92.97000122070312 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 28 |
TARGET INDEX: 34 |
DPN92 1 |
SENet18 0 |
ResNet50 1 |
ResNeXt29_2x64d 1 |
GoogLeNet 1 |
MobileNetV2 1 |
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=35, 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') |
Path: chk-black-ourmean/mean/4000/35 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 21:11:37 Iteration 0 Training Loss: 1.108e+00 Loss in Target Net: 3.661e-01 |
2020-01-31 21:11:59 Iteration 50 Training Loss: 8.483e-02 Loss in Target Net: 9.275e-03 |
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