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2020-01-31 20:39:58, Epoch 30, Iteration 7, loss 0.117 (0.079), acc 96.154 (97.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-1.0745133, -7.9332395, -48.37024, 7.9422956, -41.52996, -5.4994793, 29.421858, -41.083466, 38.38089, -106.979546], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:40:02 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 20:40:09 Epoch 59, Val iteration 19, acc 92.000 (92.160) |
* Prec: 92.16000175476074 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:12, Epoch 0, Iteration 7, loss 1.112 (0.868), acc 90.385 (86.200) |
2020-01-31 20:40:12, Epoch 30, Iteration 7, loss 0.169 (0.139), acc 96.154 (96.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[6.8193445, -12.5383215, -12.383447, -3.9004066, 11.162114, -15.990011, 21.414642, -26.322588, 20.163828, -24.053015], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 20:40:13 Epoch 59, Val iteration 0, acc 92.200 (92.200) |
2020-01-31 20:40:15 Epoch 59, Val iteration 19, acc 93.200 (91.570) |
* Prec: 91.57000122070312 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:17, Epoch 0, Iteration 7, loss 0.533 (0.339), acc 98.077 (97.200) |
2020-01-31 20:40:17, 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:[-44.28858, -65.95625, -72.86908, -34.28114, -93.67481, -58.472206, 1.990182, -98.99086, 18.479946, -157.54019], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:40:18 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 20:40:22 Epoch 59, Val iteration 19, acc 93.800 (93.200) |
* Prec: 93.2000015258789 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:25, Epoch 0, Iteration 7, loss 1.377 (3.060), acc 78.846 (63.200) |
2020-01-31 20:40:25, Epoch 30, Iteration 7, loss 0.136 (0.043), acc 98.077 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-16.69233, 0.08401705, -9.143728, 11.130448, -95.88132, -29.276949, 24.56768, -15.060453, 30.052656, -25.667751], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:40:26 Epoch 59, Val iteration 0, acc 93.400 (93.400) |
2020-01-31 20:40:30 Epoch 59, Val iteration 19, acc 92.200 (92.520) |
* Prec: 92.52000160217285 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:33, Epoch 0, Iteration 7, loss 0.515 (0.465), acc 86.538 (88.400) |
2020-01-31 20:40:33, Epoch 30, Iteration 7, loss 0.009 (0.042), acc 100.000 (98.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-26.884472, -6.5325603, -17.489729, -0.7434311, -13.62383, -8.382495, 9.478343, -15.232384, 11.822834, -14.624653], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 20:40:35 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-01-31 20:40:40 Epoch 59, Val iteration 19, acc 91.600 (91.380) |
* Prec: 91.38000221252442 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:42, Epoch 0, Iteration 7, loss 3.191 (4.709), acc 76.923 (58.000) |
2020-01-31 20:40:42, Epoch 30, Iteration 7, loss 0.087 (0.318), acc 98.077 (93.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[5.3002343, -5.6452866, -14.139321, 16.575356, -27.822514, -0.7117535, 28.449928, -35.750904, 26.190636, 8.878088], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:40:43 Epoch 59, Val iteration 0, acc 86.600 (86.600) |
2020-01-31 20:40:45 Epoch 59, Val iteration 19, acc 88.400 (86.240) |
* Prec: 86.24000129699706 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:47, Epoch 0, Iteration 7, loss 0.958 (0.649), acc 90.385 (87.200) |
2020-01-31 20:40:47, Epoch 30, Iteration 7, loss 0.002 (0.032), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-33.633484, -23.006092, -17.2791, -0.6603373, -40.61926, -10.786516, 7.8134212, -27.37063, 5.8271465, -37.801685], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 20:40:48 Epoch 59, Val iteration 0, acc 93.000 (93.000) |
2020-01-31 20:40:50 Epoch 59, Val iteration 19, acc 93.200 (91.980) |
* Prec: 91.98000144958496 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:40:53, Epoch 0, Iteration 7, loss 0.664 (0.461), acc 90.385 (92.200) |
2020-01-31 20:40:53, Epoch 30, Iteration 7, loss 0.005 (0.004), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.403976, -17.091581, -15.228228, -5.891724, -6.4154043, -5.329251, 7.247616, -29.560944, 4.8454833, -20.618362], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:40:55 Epoch 59, Val iteration 0, acc 94.000 (94.000) |
2020-01-31 20:40:59 Epoch 59, Val iteration 19, acc 92.600 (92.870) |
* Prec: 92.8700008392334 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 28 |
TARGET INDEX: 27 |
DPN92 1 |
SENet18 0 |
ResNet50 1 |
ResNeXt29_2x64d 1 |
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='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=28, 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/4000/28 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 20:45:34 Iteration 0 Training Loss: 1.115e+00 Loss in Target Net: 3.715e-01 |
2020-01-31 20:45:57 Iteration 50 Training Loss: 8.103e-02 Loss in Target Net: 4.533e-03 |
2020-01-31 20:46:19 Iteration 100 Training Loss: 7.001e-02 Loss in Target Net: 3.908e-03 |
2020-01-31 20:46:41 Iteration 150 Training Loss: 6.955e-02 Loss in Target Net: 2.965e-03 |
2020-01-31 20:47:02 Iteration 200 Training Loss: 6.948e-02 Loss in Target Net: 3.257e-03 |
2020-01-31 20:47:24 Iteration 250 Training Loss: 6.739e-02 Loss in Target Net: 5.303e-03 |
2020-01-31 20:47:48 Iteration 300 Training Loss: 6.337e-02 Loss in Target Net: 7.235e-03 |
2020-01-31 20:48:10 Iteration 350 Training Loss: 6.194e-02 Loss in Target Net: 7.043e-03 |
2020-01-31 20:48:32 Iteration 400 Training Loss: 7.103e-02 Loss in Target Net: 3.002e-03 |
2020-01-31 20:48:53 Iteration 450 Training Loss: 5.934e-02 Loss in Target Net: 2.747e-03 |
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