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2020-01-31 18:10:05, Epoch 30, Iteration 7, loss 0.056 (0.067), acc 98.077 (98.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[8.121666, -11.05686, -46.37928, -10.268228, -31.090218, -12.627464, 6.8212056, -48.17651, 42.32131, -75.91696], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:10:09 Epoch 59, Val iteration 0, acc 91.400 (91.400) |
2020-01-31 18:10:16 Epoch 59, Val iteration 19, acc 91.600 (92.590) |
* Prec: 92.59000129699707 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:19, Epoch 0, Iteration 7, loss 0.127 (0.733), acc 94.231 (87.800) |
2020-01-31 18:10:19, Epoch 30, Iteration 7, loss 0.047 (0.117), acc 98.077 (97.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[11.587873, 19.023542, -20.409815, -9.461147, 4.8527555, -12.609378, 21.309233, 9.077753, 32.850475, -5.4261136], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 18:10:20 Epoch 59, Val iteration 0, acc 92.200 (92.200) |
2020-01-31 18:10:22 Epoch 59, Val iteration 19, acc 93.400 (91.700) |
* Prec: 91.7000015258789 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:24, Epoch 0, Iteration 7, loss 0.055 (1.988), acc 98.077 (84.000) |
2020-01-31 18:10:24, 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:[-22.028473, -50.198524, -51.198, -37.401302, -36.655693, -45.286453, -7.2500668, -57.808475, 16.323902, -39.45203], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:10:25 Epoch 59, Val iteration 0, acc 94.400 (94.400) |
2020-01-31 18:10:30 Epoch 59, Val iteration 19, acc 94.400 (94.270) |
* Prec: 94.27000160217285 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:32, Epoch 0, Iteration 7, loss 0.707 (2.626), acc 90.385 (67.800) |
2020-01-31 18:10:32, Epoch 30, Iteration 7, loss 0.001 (0.053), acc 100.000 (98.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-17.11561, 8.443623, -6.916837, 2.7783384, -41.679665, -17.162197, 1.6216832, -18.92889, 28.961771, -21.803278], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:10:33 Epoch 59, Val iteration 0, acc 92.400 (92.400) |
2020-01-31 18:10:37 Epoch 59, Val iteration 19, acc 93.000 (93.170) |
* Prec: 93.17000160217285 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:40, Epoch 0, Iteration 7, loss 0.195 (0.359), acc 94.231 (90.800) |
2020-01-31 18:10:41, Epoch 30, Iteration 7, loss 0.001 (0.025), acc 100.000 (99.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-17.583723, -2.2910914, -27.756203, -4.3896728, -8.807615, -13.805879, -4.5529394, -23.879452, 11.797701, -10.495727], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:10:44 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-01-31 18:10:49 Epoch 59, Val iteration 19, acc 91.400 (91.990) |
* Prec: 91.99000129699706 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:51, Epoch 0, Iteration 7, loss 2.364 (3.137), acc 73.077 (67.400) |
2020-01-31 18:10:51, Epoch 30, Iteration 7, loss 0.042 (0.170), acc 98.077 (96.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.317348, -17.375776, -11.861857, 10.360667, -7.3531556, -11.542087, 27.12026, -28.307875, 26.087435, -25.820969], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:10:52 Epoch 59, Val iteration 0, acc 88.400 (88.400) |
2020-01-31 18:10:54 Epoch 59, Val iteration 19, acc 87.800 (87.430) |
* Prec: 87.43000144958496 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:10:56, Epoch 0, Iteration 7, loss 1.288 (0.725), acc 88.462 (87.000) |
2020-01-31 18:10:56, Epoch 30, Iteration 7, loss 0.001 (0.076), acc 100.000 (98.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-20.252094, -9.0212755, -28.028723, -3.6920314, -36.62031, -16.365814, 3.052134, -21.731958, 9.218412, -25.448732], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 18:10:56 Epoch 59, Val iteration 0, acc 94.000 (94.000) |
2020-01-31 18:10:58 Epoch 59, Val iteration 19, acc 93.400 (92.710) |
* Prec: 92.71000137329102 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:11:01, Epoch 0, Iteration 7, loss 0.404 (0.404), acc 98.077 (92.600) |
2020-01-31 18:11:02, Epoch 30, Iteration 7, loss 0.004 (0.003), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-6.5245013, -7.275645, -15.343599, -3.3533404, -3.0305057, -9.341691, 5.4550896, -28.634281, 7.3972955, -14.366197], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:11:03 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 18:11:08 Epoch 59, Val iteration 19, acc 93.000 (93.040) |
* Prec: 93.0400016784668 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 28 |
TARGET INDEX: 5 |
DPN92 1 |
SENet18 1 |
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='2', 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=6, 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/4000/6 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 17:42:45 Iteration 0 Training Loss: 1.059e+00 Loss in Target Net: 4.056e-01 |
2020-01-31 17:43:06 Iteration 50 Training Loss: 8.811e-02 Loss in Target Net: 1.334e-02 |
2020-01-31 17:43:29 Iteration 100 Training Loss: 7.818e-02 Loss in Target Net: 1.007e-02 |
2020-01-31 17:43:53 Iteration 150 Training Loss: 6.865e-02 Loss in Target Net: 9.556e-03 |
2020-01-31 17:44:16 Iteration 200 Training Loss: 7.356e-02 Loss in Target Net: 9.667e-03 |
2020-01-31 17:44:39 Iteration 250 Training Loss: 6.940e-02 Loss in Target Net: 9.723e-03 |
2020-01-31 17:45:01 Iteration 300 Training Loss: 7.621e-02 Loss in Target Net: 1.076e-02 |
2020-01-31 17:45:23 Iteration 350 Training Loss: 7.283e-02 Loss in Target Net: 1.022e-02 |
2020-01-31 17:45:46 Iteration 400 Training Loss: 7.163e-02 Loss in Target Net: 7.095e-03 |
2020-01-31 17:46:08 Iteration 450 Training Loss: 6.896e-02 Loss in Target Net: 1.049e-02 |
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