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2020-01-31 21:10:39, Epoch 30, Iteration 7, loss 0.001 (0.029), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-45.69973, -6.553745, -28.954876, -36.906937, -23.091585, -34.64871, 31.005335, -51.784317, 28.417246, -4.070469], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:10:40 Epoch 59, Val iteration 0, acc 94.400 (94.400) |
2020-01-31 21:10:44 Epoch 59, Val iteration 19, acc 94.400 (94.090) |
* Prec: 94.09000053405762 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:10:46, Epoch 0, Iteration 7, loss 0.825 (2.141), acc 82.692 (73.000) |
2020-01-31 21:10:47, Epoch 30, Iteration 7, loss 0.019 (0.017), acc 100.000 (99.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-22.920319, -5.670165, 6.3192153, 4.678832, -30.991983, -5.2484903, 27.299015, -9.37024, 20.12374, -8.23821], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:10:48 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 21:10:52 Epoch 59, Val iteration 19, acc 94.000 (93.210) |
* Prec: 93.21000175476074 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:10:54, Epoch 0, Iteration 7, loss 0.286 (0.315), acc 94.231 (93.000) |
2020-01-31 21:10:55, Epoch 30, Iteration 7, loss 0.069 (0.052), acc 96.154 (97.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-21.017511, -10.183689, -3.073762, 2.1881654, -18.238794, 0.41145927, 10.623966, -13.319008, 2.595532, -18.661535], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:10:57 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 21:11:02 Epoch 59, Val iteration 19, acc 92.400 (92.010) |
* Prec: 92.01000213623047 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:11:04, Epoch 0, Iteration 7, loss 1.798 (3.900), acc 76.923 (57.600) |
2020-01-31 21:11:04, Epoch 30, Iteration 7, loss 0.347 (0.337), acc 88.462 (92.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-6.0855684, -2.036067, -4.060091, 11.217493, -14.771685, -6.048745, 21.364317, -44.353546, 20.40262, -24.512478], Poisons' Predictions:[6, 8, 8, 6, 8] |
2020-01-31 21:11:05 Epoch 59, Val iteration 0, acc 89.000 (89.000) |
2020-01-31 21:11:07 Epoch 59, Val iteration 19, acc 88.800 (87.510) |
* Prec: 87.51000137329102 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:11:09, Epoch 0, Iteration 7, loss 0.244 (0.623), acc 92.308 (89.800) |
2020-01-31 21:11:09, Epoch 30, Iteration 7, loss 0.001 (0.061), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-35.068916, -10.965277, -17.930063, -1.1644311, -45.13933, -8.317492, 11.213523, -19.74489, 10.659548, -33.843548], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 21:11:10 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 21:11:12 Epoch 59, Val iteration 19, acc 93.800 (92.750) |
* Prec: 92.75000076293945 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:11:14, Epoch 0, Iteration 7, loss 0.844 (0.445), acc 92.308 (92.200) |
2020-01-31 21:11:15, Epoch 30, Iteration 7, loss 0.019 (0.005), acc 98.077 (99.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-12.9762335, -25.55196, -14.522439, -4.6847444, -5.270479, -7.6618834, 6.3702955, -31.785765, 6.500008, -15.30199], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:11:16 Epoch 59, Val iteration 0, acc 94.200 (94.200) |
2020-01-31 21:11:21 Epoch 59, Val iteration 19, acc 93.600 (93.310) |
* Prec: 93.31000175476075 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 29 |
TARGET INDEX: 31 |
DPN92 1 |
SENet18 0 |
ResNet50 0 |
ResNeXt29_2x64d 0 |
GoogLeNet 0 |
MobileNetV2 0 |
ResNet18 0 |
DenseNet121 1 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='0', 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=32, 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/4000/32 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 21:16:20 Iteration 0 Training Loss: 1.099e+00 Loss in Target Net: 4.515e-01 |
2020-01-31 21:16:44 Iteration 50 Training Loss: 9.810e-02 Loss in Target Net: 9.743e-03 |
2020-01-31 21:17:09 Iteration 100 Training Loss: 9.001e-02 Loss in Target Net: 4.779e-03 |
2020-01-31 21:17:32 Iteration 150 Training Loss: 9.162e-02 Loss in Target Net: 3.444e-03 |
2020-01-31 21:17:55 Iteration 200 Training Loss: 8.310e-02 Loss in Target Net: 6.164e-03 |
2020-01-31 21:18:18 Iteration 250 Training Loss: 8.712e-02 Loss in Target Net: 4.405e-03 |
2020-01-31 21:18:42 Iteration 300 Training Loss: 8.265e-02 Loss in Target Net: 6.610e-03 |
2020-01-31 21:19:06 Iteration 350 Training Loss: 8.320e-02 Loss in Target Net: 7.348e-03 |
2020-01-31 21:19:28 Iteration 400 Training Loss: 8.190e-02 Loss in Target Net: 4.349e-03 |
2020-01-31 21:19:51 Iteration 450 Training Loss: 8.092e-02 Loss in Target Net: 6.103e-03 |
2020-01-31 21:20:14 Iteration 500 Training Loss: 8.718e-02 Loss in Target Net: 6.743e-03 |
2020-01-31 21:20:35 Iteration 550 Training Loss: 7.809e-02 Loss in Target Net: 5.224e-03 |
2020-01-31 21:20:58 Iteration 600 Training Loss: 7.361e-02 Loss in Target Net: 5.315e-03 |
2020-01-31 21:21:21 Iteration 650 Training Loss: 7.712e-02 Loss in Target Net: 8.566e-03 |
2020-01-31 21:21:43 Iteration 700 Training Loss: 8.408e-02 Loss in Target Net: 5.570e-03 |
2020-01-31 21:22:05 Iteration 750 Training Loss: 7.841e-02 Loss in Target Net: 6.107e-03 |
2020-01-31 21:22:30 Iteration 800 Training Loss: 7.957e-02 Loss in Target Net: 6.289e-03 |
2020-01-31 21:22:53 Iteration 850 Training Loss: 8.156e-02 Loss in Target Net: 8.017e-03 |
2020-01-31 21:23:17 Iteration 900 Training Loss: 8.361e-02 Loss in Target Net: 6.520e-03 |
2020-01-31 21:23:41 Iteration 950 Training Loss: 8.347e-02 Loss in Target Net: 5.921e-03 |
2020-01-31 21:24:05 Iteration 1000 Training Loss: 7.691e-02 Loss in Target Net: 8.583e-03 |
2020-01-31 21:24:27 Iteration 1050 Training Loss: 7.212e-02 Loss in Target Net: 6.297e-03 |
2020-01-31 21:24:50 Iteration 1100 Training Loss: 7.724e-02 Loss in Target Net: 8.092e-03 |
2020-01-31 21:25:13 Iteration 1150 Training Loss: 8.386e-02 Loss in Target Net: 5.641e-03 |
2020-01-31 21:25:36 Iteration 1200 Training Loss: 7.734e-02 Loss in Target Net: 5.162e-03 |
2020-01-31 21:25:59 Iteration 1250 Training Loss: 8.517e-02 Loss in Target Net: 1.264e-02 |
2020-01-31 21:26:21 Iteration 1300 Training Loss: 7.239e-02 Loss in Target Net: 5.953e-03 |
2020-01-31 21:26:44 Iteration 1350 Training Loss: 7.553e-02 Loss in Target Net: 9.494e-03 |
2020-01-31 21:27:07 Iteration 1400 Training Loss: 8.259e-02 Loss in Target Net: 5.730e-03 |
2020-01-31 21:27:31 Iteration 1450 Training Loss: 7.711e-02 Loss in Target Net: 7.620e-03 |
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