text stringlengths 5 1.13k |
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Files already downloaded and verified |
2020-01-31 20:44:42, Epoch 0, Iteration 7, loss 1.645 (2.662), acc 78.846 (69.600) |
2020-01-31 20:44:43, Epoch 30, Iteration 7, loss 0.035 (0.026), acc 98.077 (98.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-32.0401, 0.39483184, -8.585676, 12.5534115, -40.204735, -18.916794, 27.671432, -8.36412, 23.973673, -21.373451], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:44:44 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 20:44:48 Epoch 59, Val iteration 19, acc 92.600 (92.730) |
* Prec: 92.73000221252441 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:44:51, Epoch 0, Iteration 7, loss 0.411 (0.520), acc 86.538 (86.800) |
2020-01-31 20:44:51, Epoch 30, Iteration 7, loss 0.022 (0.065), acc 100.000 (98.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-20.348375, -5.5238714, -12.069656, -1.6123453, -1.0215341, -1.7772202, 6.38856, -7.8719034, 7.314001, -10.680058], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 20:44:53 Epoch 59, Val iteration 0, acc 92.400 (92.400) |
2020-01-31 20:44:58 Epoch 59, Val iteration 19, acc 92.400 (92.120) |
* Prec: 92.12000274658203 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:45:00, Epoch 0, Iteration 7, loss 1.293 (3.252), acc 78.846 (62.800) |
2020-01-31 20:45:00, Epoch 30, Iteration 7, loss 0.425 (0.239), acc 92.308 (94.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[3.53566, 14.602021, -7.2038317, 8.688041, -28.623026, -7.3227835, 23.961386, -26.560108, 16.130798, -24.571451], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 20:45:01 Epoch 59, Val iteration 0, acc 88.200 (88.200) |
2020-01-31 20:45:03 Epoch 59, Val iteration 19, acc 88.800 (87.140) |
* Prec: 87.14000244140625 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:45:05, Epoch 0, Iteration 7, loss 0.422 (0.889), acc 94.231 (86.200) |
2020-01-31 20:45:05, Epoch 30, Iteration 7, loss 0.014 (0.035), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-31.596348, -14.141026, -13.323555, 0.29016036, -42.016396, -15.667754, 7.045915, -24.337936, 6.35822, -37.752537], Poisons' Predictions:[6, 8, 8, 6, 6] |
2020-01-31 20:45:06 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-01-31 20:45:08 Epoch 59, Val iteration 19, acc 93.600 (92.810) |
* Prec: 92.81000213623047 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:45:11, Epoch 0, Iteration 7, loss 0.604 (0.360), acc 88.462 (92.200) |
2020-01-31 20:45:11, Epoch 30, Iteration 7, loss 0.001 (0.016), acc 100.000 (99.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-10.302619, -13.303497, -12.83279, -4.2236886, -6.7663903, -4.852682, 5.906703, -30.649, 5.2555575, -16.291471], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:45:13 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 20:45:17 Epoch 59, Val iteration 19, acc 93.400 (93.120) |
* Prec: 93.12000160217285 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 28 |
TARGET INDEX: 24 |
DPN92 1 |
SENet18 1 |
ResNet50 0 |
ResNeXt29_2x64d 0 |
GoogLeNet 1 |
MobileNetV2 0 |
ResNet18 0 |
DenseNet121 0 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='1', 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=25, 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/4000/25 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 20:13:27 Iteration 0 Training Loss: 1.065e+00 Loss in Target Net: 4.298e-01 |
2020-01-31 20:13:49 Iteration 50 Training Loss: 1.159e-01 Loss in Target Net: 1.109e-02 |
2020-01-31 20:14:10 Iteration 100 Training Loss: 8.915e-02 Loss in Target Net: 1.247e-02 |
2020-01-31 20:14:32 Iteration 150 Training Loss: 9.436e-02 Loss in Target Net: 1.142e-02 |
2020-01-31 20:14:54 Iteration 200 Training Loss: 8.602e-02 Loss in Target Net: 9.916e-03 |
2020-01-31 20:15:15 Iteration 250 Training Loss: 8.462e-02 Loss in Target Net: 1.071e-02 |
2020-01-31 20:15:36 Iteration 300 Training Loss: 8.419e-02 Loss in Target Net: 8.605e-03 |
2020-01-31 20:15:58 Iteration 350 Training Loss: 8.509e-02 Loss in Target Net: 1.056e-02 |
2020-01-31 20:16:20 Iteration 400 Training Loss: 8.093e-02 Loss in Target Net: 1.317e-02 |
2020-01-31 20:16:42 Iteration 450 Training Loss: 8.651e-02 Loss in Target Net: 1.214e-02 |
2020-01-31 20:17:04 Iteration 500 Training Loss: 8.637e-02 Loss in Target Net: 1.198e-02 |
2020-01-31 20:17:26 Iteration 550 Training Loss: 8.547e-02 Loss in Target Net: 1.116e-02 |
2020-01-31 20:17:48 Iteration 600 Training Loss: 7.905e-02 Loss in Target Net: 1.090e-02 |
2020-01-31 20:18:10 Iteration 650 Training Loss: 7.978e-02 Loss in Target Net: 1.376e-02 |
2020-01-31 20:18:32 Iteration 700 Training Loss: 7.920e-02 Loss in Target Net: 1.127e-02 |
2020-01-31 20:18:54 Iteration 750 Training Loss: 8.704e-02 Loss in Target Net: 1.287e-02 |
2020-01-31 20:19:17 Iteration 800 Training Loss: 8.405e-02 Loss in Target Net: 1.241e-02 |
2020-01-31 20:19:40 Iteration 850 Training Loss: 7.823e-02 Loss in Target Net: 1.155e-02 |
2020-01-31 20:20:03 Iteration 900 Training Loss: 8.182e-02 Loss in Target Net: 8.683e-03 |
2020-01-31 20:20:26 Iteration 950 Training Loss: 7.666e-02 Loss in Target Net: 7.771e-03 |
2020-01-31 20:20:48 Iteration 1000 Training Loss: 8.772e-02 Loss in Target Net: 7.729e-03 |
2020-01-31 20:21:10 Iteration 1050 Training Loss: 8.413e-02 Loss in Target Net: 1.268e-02 |
2020-01-31 20:21:32 Iteration 1100 Training Loss: 8.034e-02 Loss in Target Net: 1.067e-02 |
2020-01-31 20:21:54 Iteration 1150 Training Loss: 7.907e-02 Loss in Target Net: 7.813e-03 |
2020-01-31 20:22:16 Iteration 1200 Training Loss: 7.983e-02 Loss in Target Net: 1.066e-02 |
2020-01-31 20:22:37 Iteration 1250 Training Loss: 8.330e-02 Loss in Target Net: 9.974e-03 |
2020-01-31 20:22:59 Iteration 1300 Training Loss: 7.820e-02 Loss in Target Net: 1.015e-02 |
2020-01-31 20:23:21 Iteration 1350 Training Loss: 7.473e-02 Loss in Target Net: 7.429e-03 |
2020-01-31 20:23:43 Iteration 1400 Training Loss: 8.011e-02 Loss in Target Net: 8.393e-03 |
2020-01-31 20:24:05 Iteration 1450 Training Loss: 7.215e-02 Loss in Target Net: 7.430e-03 |
2020-01-31 20:24:27 Iteration 1500 Training Loss: 7.780e-02 Loss in Target Net: 8.647e-03 |
2020-01-31 20:24:49 Iteration 1550 Training Loss: 7.881e-02 Loss in Target Net: 1.034e-02 |
2020-01-31 20:25:11 Iteration 1600 Training Loss: 7.961e-02 Loss in Target Net: 1.136e-02 |
2020-01-31 20:25:33 Iteration 1650 Training Loss: 7.829e-02 Loss in Target Net: 9.018e-03 |
2020-01-31 20:25:54 Iteration 1700 Training Loss: 8.015e-02 Loss in Target Net: 9.128e-03 |
2020-01-31 20:26:17 Iteration 1750 Training Loss: 7.894e-02 Loss in Target Net: 9.827e-03 |
2020-01-31 20:26:38 Iteration 1800 Training Loss: 7.421e-02 Loss in Target Net: 8.416e-03 |
2020-01-31 20:27:00 Iteration 1850 Training Loss: 7.525e-02 Loss in Target Net: 1.146e-02 |
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