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2020-01-31 22:05:31 Iteration 2500 Training Loss: 6.248e-02 Loss in Target Net: 2.503e-02 |
2020-01-31 22:05:54 Iteration 2550 Training Loss: 6.647e-02 Loss in Target Net: 1.989e-02 |
2020-01-31 22:06:17 Iteration 2600 Training Loss: 6.722e-02 Loss in Target Net: 2.374e-02 |
2020-01-31 22:06:42 Iteration 2650 Training Loss: 6.351e-02 Loss in Target Net: 1.653e-02 |
2020-01-31 22:07:05 Iteration 2700 Training Loss: 6.534e-02 Loss in Target Net: 2.230e-02 |
2020-01-31 22:07:27 Iteration 2750 Training Loss: 7.364e-02 Loss in Target Net: 2.329e-02 |
2020-01-31 22:07:51 Iteration 2800 Training Loss: 6.201e-02 Loss in Target Net: 2.894e-02 |
2020-01-31 22:08:12 Iteration 2850 Training Loss: 6.490e-02 Loss in Target Net: 2.531e-02 |
2020-01-31 22:08:35 Iteration 2900 Training Loss: 6.716e-02 Loss in Target Net: 3.058e-02 |
2020-01-31 22:08:56 Iteration 2950 Training Loss: 6.485e-02 Loss in Target Net: 3.496e-02 |
2020-01-31 22:09:18 Iteration 3000 Training Loss: 6.415e-02 Loss in Target Net: 2.097e-02 |
2020-01-31 22:09:40 Iteration 3050 Training Loss: 6.483e-02 Loss in Target Net: 2.789e-02 |
2020-01-31 22:10:01 Iteration 3100 Training Loss: 6.128e-02 Loss in Target Net: 2.005e-02 |
2020-01-31 22:10:23 Iteration 3150 Training Loss: 6.459e-02 Loss in Target Net: 2.665e-02 |
2020-01-31 22:10:46 Iteration 3200 Training Loss: 6.807e-02 Loss in Target Net: 2.756e-02 |
2020-01-31 22:11:08 Iteration 3250 Training Loss: 6.315e-02 Loss in Target Net: 2.778e-02 |
2020-01-31 22:11:30 Iteration 3300 Training Loss: 6.695e-02 Loss in Target Net: 2.327e-02 |
2020-01-31 22:11:52 Iteration 3350 Training Loss: 6.312e-02 Loss in Target Net: 3.201e-02 |
2020-01-31 22:12:13 Iteration 3400 Training Loss: 6.515e-02 Loss in Target Net: 2.362e-02 |
2020-01-31 22:12:35 Iteration 3450 Training Loss: 7.060e-02 Loss in Target Net: 2.314e-02 |
2020-01-31 22:12:59 Iteration 3500 Training Loss: 6.488e-02 Loss in Target Net: 3.190e-02 |
2020-01-31 22:13:20 Iteration 3550 Training Loss: 6.279e-02 Loss in Target Net: 2.314e-02 |
2020-01-31 22:13:41 Iteration 3600 Training Loss: 6.162e-02 Loss in Target Net: 2.745e-02 |
2020-01-31 22:14:02 Iteration 3650 Training Loss: 6.916e-02 Loss in Target Net: 2.890e-02 |
2020-01-31 22:14:23 Iteration 3700 Training Loss: 6.170e-02 Loss in Target Net: 2.737e-02 |
2020-01-31 22:14:44 Iteration 3750 Training Loss: 6.093e-02 Loss in Target Net: 2.939e-02 |
2020-01-31 22:15:05 Iteration 3800 Training Loss: 6.419e-02 Loss in Target Net: 2.829e-02 |
2020-01-31 22:15:25 Iteration 3850 Training Loss: 6.610e-02 Loss in Target Net: 2.586e-02 |
2020-01-31 22:15:46 Iteration 3900 Training Loss: 6.652e-02 Loss in Target Net: 3.110e-02 |
2020-01-31 22:16:08 Iteration 3950 Training Loss: 6.245e-02 Loss in Target Net: 2.884e-02 |
2020-01-31 22:16:29 Iteration 3999 Training Loss: 6.398e-02 Loss in Target Net: 2.760e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:33, Epoch 0, Iteration 7, loss 2.868 (4.175), acc 86.538 (72.000) |
2020-01-31 22:16:34, Epoch 30, Iteration 7, loss 0.140 (0.188), acc 98.077 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-7.1908937, 3.1489997, -53.85913, -11.773114, -55.29607, -14.481558, 13.914401, -49.815674, 15.025817, -115.513145], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 22:16:38 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:16:45 Epoch 59, Val iteration 19, acc 91.600 (92.070) |
* Prec: 92.07000122070312 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:48, Epoch 0, Iteration 7, loss 0.170 (0.677), acc 90.385 (89.400) |
2020-01-31 22:16:48, Epoch 30, Iteration 7, loss 0.084 (0.211), acc 98.077 (94.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[2.2357783, -5.6566544, -18.78248, -10.197284, 0.6854646, -15.764213, 25.771097, -23.8521, 22.23714, -18.21962], Poisons' Predictions:[6, 6, 8, 6, 6] |
2020-01-31 22:16:49 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-01-31 22:16:50 Epoch 59, Val iteration 19, acc 92.400 (91.440) |
* Prec: 91.44000129699707 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:16:53, Epoch 0, Iteration 7, loss 0.002 (0.939), acc 100.000 (90.000) |
2020-01-31 22:16:53, Epoch 30, Iteration 7, loss 0.000 (0.021), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-64.28368, -23.89905, -97.12533, -11.483515, -32.80618, -15.851856, 15.270835, -102.61717, 24.511625, -30.695368], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:16:54 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 22:16:58 Epoch 59, Val iteration 19, acc 92.800 (93.330) |
* Prec: 93.33000106811524 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:17:01, Epoch 0, Iteration 7, loss 0.038 (1.795), acc 98.077 (80.800) |
2020-01-31 22:17:01, Epoch 30, Iteration 7, loss 0.089 (0.041), acc 98.077 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-37.30894, -0.18569963, -13.8154335, 0.1260816, -106.976715, -34.098118, 24.416697, -20.002365, 25.268423, -34.221375], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:17:02 Epoch 59, Val iteration 0, acc 93.000 (93.000) |
2020-01-31 22:17:06 Epoch 59, Val iteration 19, acc 92.200 (92.070) |
* Prec: 92.07000160217285 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:17:09, Epoch 0, Iteration 7, loss 0.445 (0.471), acc 90.385 (87.400) |
2020-01-31 22:17:09, Epoch 30, Iteration 7, loss 0.209 (0.059), acc 92.308 (97.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-9.680194, -6.205943, -11.967764, -2.3049998, -14.713715, -7.369331, 8.3106785, -6.171422, 7.8207235, -17.611649], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 22:17:11 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:17:16 Epoch 59, Val iteration 19, acc 91.800 (92.210) |
* Prec: 92.21000175476074 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:17:18, Epoch 0, Iteration 7, loss 1.072 (2.792), acc 84.615 (68.600) |
2020-01-31 22:17:18, Epoch 30, Iteration 7, loss 0.192 (0.177), acc 94.231 (94.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-2.961007, 4.4992056, -6.054771, 8.586768, -21.260008, -5.086595, 24.04992, -34.11401, 20.022726, -24.22383], Poisons' Predictions:[8, 8, 6, 8, 8] |
2020-01-31 22:17:19 Epoch 59, Val iteration 0, acc 86.800 (86.800) |
2020-01-31 22:17:21 Epoch 59, Val iteration 19, acc 88.600 (86.870) |
* Prec: 86.87000198364258 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:17:23, Epoch 0, Iteration 7, loss 0.668 (0.638), acc 88.462 (89.800) |
2020-01-31 22:17:23, Epoch 30, Iteration 7, loss 0.001 (0.045), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-25.36097, -8.19045, -13.553393, 1.780529, -43.65245, -6.6705265, 6.1295943, -24.354414, 6.6688805, -44.702408], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 22:17:23 Epoch 59, Val iteration 0, acc 93.000 (93.000) |
2020-01-31 22:17:25 Epoch 59, Val iteration 19, acc 93.400 (92.620) |
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