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2020-01-31 21:35:06 Iteration 2700 Training Loss: 6.906e-02 Loss in Target Net: 5.866e-02
2020-01-31 21:35:29 Iteration 2750 Training Loss: 7.402e-02 Loss in Target Net: 5.651e-02
2020-01-31 21:35:53 Iteration 2800 Training Loss: 6.887e-02 Loss in Target Net: 4.730e-02
2020-01-31 21:36:16 Iteration 2850 Training Loss: 6.887e-02 Loss in Target Net: 5.460e-02
2020-01-31 21:36:39 Iteration 2900 Training Loss: 7.296e-02 Loss in Target Net: 5.327e-02
2020-01-31 21:37:02 Iteration 2950 Training Loss: 6.694e-02 Loss in Target Net: 4.890e-02
2020-01-31 21:37:27 Iteration 3000 Training Loss: 6.976e-02 Loss in Target Net: 4.992e-02
2020-01-31 21:37:50 Iteration 3050 Training Loss: 7.053e-02 Loss in Target Net: 5.199e-02
2020-01-31 21:38:13 Iteration 3100 Training Loss: 6.749e-02 Loss in Target Net: 4.782e-02
2020-01-31 21:38:37 Iteration 3150 Training Loss: 6.358e-02 Loss in Target Net: 5.239e-02
2020-01-31 21:39:00 Iteration 3200 Training Loss: 7.254e-02 Loss in Target Net: 4.489e-02
2020-01-31 21:39:23 Iteration 3250 Training Loss: 6.720e-02 Loss in Target Net: 5.321e-02
2020-01-31 21:39:46 Iteration 3300 Training Loss: 6.900e-02 Loss in Target Net: 4.310e-02
2020-01-31 21:40:09 Iteration 3350 Training Loss: 6.778e-02 Loss in Target Net: 4.754e-02
2020-01-31 21:40:32 Iteration 3400 Training Loss: 7.263e-02 Loss in Target Net: 4.885e-02
2020-01-31 21:40:55 Iteration 3450 Training Loss: 7.697e-02 Loss in Target Net: 4.392e-02
2020-01-31 21:41:19 Iteration 3500 Training Loss: 6.765e-02 Loss in Target Net: 4.996e-02
2020-01-31 21:41:42 Iteration 3550 Training Loss: 6.819e-02 Loss in Target Net: 4.123e-02
2020-01-31 21:42:04 Iteration 3600 Training Loss: 7.422e-02 Loss in Target Net: 5.238e-02
2020-01-31 21:42:25 Iteration 3650 Training Loss: 7.059e-02 Loss in Target Net: 4.876e-02
2020-01-31 21:42:46 Iteration 3700 Training Loss: 6.971e-02 Loss in Target Net: 5.462e-02
2020-01-31 21:43:08 Iteration 3750 Training Loss: 6.899e-02 Loss in Target Net: 5.399e-02
2020-01-31 21:43:31 Iteration 3800 Training Loss: 6.608e-02 Loss in Target Net: 6.140e-02
2020-01-31 21:43:53 Iteration 3850 Training Loss: 6.843e-02 Loss in Target Net: 5.324e-02
2020-01-31 21:44:15 Iteration 3900 Training Loss: 7.692e-02 Loss in Target Net: 4.862e-02
2020-01-31 21:44:37 Iteration 3950 Training Loss: 6.542e-02 Loss in Target Net: 6.286e-02
2020-01-31 21:44:58 Iteration 3999 Training Loss: 6.870e-02 Loss in Target Net: 6.132e-02
Evaluating against victims networks
DPN92
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:02, Epoch 0, Iteration 7, loss 2.703 (4.000), acc 78.846 (69.800)
2020-01-31 21:45:02, Epoch 30, Iteration 7, loss 0.059 (0.111), acc 98.077 (97.600)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[28.269806, 3.3499725, -51.132294, 5.788073, -34.917164, -4.4423027, 44.098553, -39.44662, 41.161247, -87.14652], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 21:45:06 Epoch 59, Val iteration 0, acc 90.400 (90.400)
2020-01-31 21:45:14 Epoch 59, Val iteration 19, acc 92.400 (91.830)
* Prec: 91.8300006866455
--------
SENet18
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:16, Epoch 0, Iteration 7, loss 1.182 (0.902), acc 80.769 (84.800)
2020-01-31 21:45:16, Epoch 30, Iteration 7, loss 0.026 (0.206), acc 98.077 (96.400)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-9.247804, 2.4364977, -13.443522, -2.3947625, 13.094259, -10.03735, 24.645515, -15.471329, 18.001816, -10.884747], Poisons' Predictions:[6, 8, 6, 8, 8]
2020-01-31 21:45:17 Epoch 59, Val iteration 0, acc 91.600 (91.600)
2020-01-31 21:45:19 Epoch 59, Val iteration 19, acc 92.800 (91.570)
* Prec: 91.5700008392334
--------
ResNet50
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:22, Epoch 0, Iteration 7, loss 1.086 (1.447), acc 94.231 (82.800)
2020-01-31 21:45:22, Epoch 30, Iteration 7, loss 0.000 (0.008), acc 100.000 (99.800)
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-78.44815, -16.307234, -21.725838, -14.99805, -37.79144, -61.31422, 21.002323, -77.938675, 25.292393, -36.311268], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 21:45:23 Epoch 59, Val iteration 0, acc 93.000 (93.000)
2020-01-31 21:45:27 Epoch 59, Val iteration 19, acc 94.000 (92.950)
* Prec: 92.9500015258789
--------
ResNeXt29_2x64d
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:30, Epoch 0, Iteration 7, loss 2.991 (2.789), acc 69.231 (72.600)
2020-01-31 21:45:30, Epoch 30, Iteration 7, loss 0.003 (0.048), acc 100.000 (98.800)
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-26.44955, 4.4928384, -11.6316395, -2.208975, -97.775734, -43.879353, 22.582191, -31.061708, 23.967243, -8.394623], Poisons' Predictions:[8, 8, 6, 8, 8]
2020-01-31 21:45:31 Epoch 59, Val iteration 0, acc 93.000 (93.000)
2020-01-31 21:45:35 Epoch 59, Val iteration 19, acc 92.200 (92.500)
* Prec: 92.50000228881837
--------
GoogLeNet
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:38, Epoch 0, Iteration 7, loss 0.400 (0.440), acc 84.615 (88.800)
2020-01-31 21:45:38, Epoch 30, Iteration 7, loss 0.033 (0.048), acc 98.077 (98.000)
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-19.983631, -2.0332904, -18.85225, -1.093786, -13.635526, -6.041698, 9.479391, -9.859182, 11.136322, -15.1847105], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 21:45:40 Epoch 59, Val iteration 0, acc 91.000 (91.000)
2020-01-31 21:45:45 Epoch 59, Val iteration 19, acc 91.400 (91.720)
* Prec: 91.72000122070312
--------
MobileNetV2
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:47, Epoch 0, Iteration 7, loss 2.718 (3.411), acc 65.385 (62.200)
2020-01-31 21:45:48, Epoch 30, Iteration 7, loss 0.051 (0.259), acc 98.077 (94.200)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[11.730081, -11.220922, -1.1470191, 19.195988, -23.69618, -4.5738173, 36.925255, -23.717896, 33.00983, -33.24578], Poisons' Predictions:[8, 8, 6, 8, 8]
2020-01-31 21:45:48 Epoch 59, Val iteration 0, acc 88.000 (88.000)
2020-01-31 21:45:50 Epoch 59, Val iteration 19, acc 87.800 (86.710)
* Prec: 86.71000175476074
--------
ResNet18
Using Adam for retraining
Files already downloaded and verified
2020-01-31 21:45:52, Epoch 0, Iteration 7, loss 1.108 (0.883), acc 86.538 (85.000)
2020-01-31 21:45:53, Epoch 30, Iteration 7, loss 0.212 (0.111), acc 96.154 (97.200)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-31.843761, -9.625612, -11.71846, -0.48146978, -34.241436, -14.192012, 8.86558, -14.262491, 7.6428485, -39.063736], Poisons' Predictions:[6, 6, 8, 6, 6]
2020-01-31 21:45:53 Epoch 59, Val iteration 0, acc 93.000 (93.000)
2020-01-31 21:45:55 Epoch 59, Val iteration 19, acc 93.800 (92.740)
* Prec: 92.7400016784668
--------
DenseNet121
Using Adam for retraining