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2020-01-31 19:44:41, Epoch 30, Iteration 7, loss 0.003 (0.031), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-35.22656, -10.729226, -8.979997, 0.12306041, -54.899628, -8.954158, 9.526273, -14.238471, 9.774711, -28.048277], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:44:41 Epoch 59, Val iteration 0, acc 93.000 (93.000) |
2020-01-31 19:44:43 Epoch 59, Val iteration 19, acc 93.000 (92.360) |
* Prec: 92.36000175476075 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:46, Epoch 0, Iteration 7, loss 0.728 (0.441), acc 86.538 (94.000) |
2020-01-31 19:44:46, Epoch 30, Iteration 7, loss 0.006 (0.003), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-7.3403487, -15.723976, -14.437467, -3.4259953, -8.739705, -6.269713, 4.37562, -41.44108, 5.515269, -13.784982], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:44:48 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-01-31 19:44:52 Epoch 59, Val iteration 19, acc 92.800 (92.720) |
* Prec: 92.72000198364258 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 31 |
TARGET INDEX: 18 |
DPN92 1 |
SENet18 0 |
ResNet50 1 |
ResNeXt29_2x64d 1 |
GoogLeNet 1 |
MobileNetV2 0 |
ResNet18 1 |
DenseNet121 1 |
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=19, 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/4000/19 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 19:11:39 Iteration 0 Training Loss: 1.211e+00 Loss in Target Net: 3.434e-01 |
2020-01-31 19:12:01 Iteration 50 Training Loss: 1.241e-01 Loss in Target Net: 2.269e-02 |
2020-01-31 19:12:24 Iteration 100 Training Loss: 1.136e-01 Loss in Target Net: 2.120e-02 |
2020-01-31 19:12:46 Iteration 150 Training Loss: 1.092e-01 Loss in Target Net: 2.711e-02 |
2020-01-31 19:13:07 Iteration 200 Training Loss: 1.022e-01 Loss in Target Net: 2.771e-02 |
2020-01-31 19:13:28 Iteration 250 Training Loss: 1.093e-01 Loss in Target Net: 3.346e-02 |
2020-01-31 19:13:48 Iteration 300 Training Loss: 1.063e-01 Loss in Target Net: 2.856e-02 |
2020-01-31 19:14:09 Iteration 350 Training Loss: 1.019e-01 Loss in Target Net: 2.836e-02 |
2020-01-31 19:14:30 Iteration 400 Training Loss: 1.059e-01 Loss in Target Net: 2.482e-02 |
2020-01-31 19:14:51 Iteration 450 Training Loss: 1.081e-01 Loss in Target Net: 3.730e-02 |
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2020-01-31 19:15:33 Iteration 550 Training Loss: 9.502e-02 Loss in Target Net: 1.598e-02 |
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2020-01-31 19:18:50 Iteration 1000 Training Loss: 1.044e-01 Loss in Target Net: 2.648e-02 |
2020-01-31 19:19:12 Iteration 1050 Training Loss: 1.011e-01 Loss in Target Net: 2.166e-02 |
2020-01-31 19:19:33 Iteration 1100 Training Loss: 1.011e-01 Loss in Target Net: 2.310e-02 |
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