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2020-01-31 20:49:16 Iteration 500 Training Loss: 6.646e-02 Loss in Target Net: 5.757e-03 |
2020-01-31 20:49:39 Iteration 550 Training Loss: 7.052e-02 Loss in Target Net: 4.262e-03 |
2020-01-31 20:50:01 Iteration 600 Training Loss: 6.971e-02 Loss in Target Net: 3.967e-03 |
2020-01-31 20:50:23 Iteration 650 Training Loss: 6.290e-02 Loss in Target Net: 2.563e-03 |
2020-01-31 20:50:45 Iteration 700 Training Loss: 6.591e-02 Loss in Target Net: 4.505e-03 |
2020-01-31 20:51:07 Iteration 750 Training Loss: 6.916e-02 Loss in Target Net: 5.768e-03 |
2020-01-31 20:51:29 Iteration 800 Training Loss: 6.498e-02 Loss in Target Net: 5.003e-03 |
2020-01-31 20:51:51 Iteration 850 Training Loss: 6.105e-02 Loss in Target Net: 3.310e-03 |
2020-01-31 20:52:13 Iteration 900 Training Loss: 7.011e-02 Loss in Target Net: 3.102e-03 |
2020-01-31 20:52:35 Iteration 950 Training Loss: 6.551e-02 Loss in Target Net: 2.922e-03 |
2020-01-31 20:52:57 Iteration 1000 Training Loss: 6.649e-02 Loss in Target Net: 3.717e-03 |
2020-01-31 20:53:20 Iteration 1050 Training Loss: 6.473e-02 Loss in Target Net: 5.358e-03 |
2020-01-31 20:53:42 Iteration 1100 Training Loss: 6.334e-02 Loss in Target Net: 3.323e-03 |
2020-01-31 20:54:03 Iteration 1150 Training Loss: 6.439e-02 Loss in Target Net: 2.755e-03 |
2020-01-31 20:54:24 Iteration 1200 Training Loss: 7.022e-02 Loss in Target Net: 4.060e-03 |
2020-01-31 20:54:46 Iteration 1250 Training Loss: 6.146e-02 Loss in Target Net: 3.688e-03 |
2020-01-31 20:55:08 Iteration 1300 Training Loss: 6.643e-02 Loss in Target Net: 2.542e-03 |
2020-01-31 20:55:31 Iteration 1350 Training Loss: 6.383e-02 Loss in Target Net: 2.435e-03 |
2020-01-31 20:55:53 Iteration 1400 Training Loss: 6.306e-02 Loss in Target Net: 3.188e-03 |
2020-01-31 20:56:16 Iteration 1450 Training Loss: 5.741e-02 Loss in Target Net: 4.266e-03 |
2020-01-31 20:56:38 Iteration 1500 Training Loss: 6.303e-02 Loss in Target Net: 3.782e-03 |
2020-01-31 20:57:00 Iteration 1550 Training Loss: 6.339e-02 Loss in Target Net: 3.885e-03 |
2020-01-31 20:57:22 Iteration 1600 Training Loss: 6.566e-02 Loss in Target Net: 3.338e-03 |
2020-01-31 20:57:43 Iteration 1650 Training Loss: 6.871e-02 Loss in Target Net: 3.169e-03 |
2020-01-31 20:58:05 Iteration 1700 Training Loss: 6.084e-02 Loss in Target Net: 4.115e-03 |
2020-01-31 20:58:27 Iteration 1750 Training Loss: 6.251e-02 Loss in Target Net: 1.996e-03 |
2020-01-31 20:58:49 Iteration 1800 Training Loss: 6.982e-02 Loss in Target Net: 3.184e-03 |
2020-01-31 20:59:11 Iteration 1850 Training Loss: 7.036e-02 Loss in Target Net: 2.834e-03 |
2020-01-31 20:59:33 Iteration 1900 Training Loss: 6.280e-02 Loss in Target Net: 4.416e-03 |
2020-01-31 20:59:55 Iteration 1950 Training Loss: 6.416e-02 Loss in Target Net: 3.470e-03 |
2020-01-31 21:00:16 Iteration 2000 Training Loss: 6.600e-02 Loss in Target Net: 2.945e-03 |
2020-01-31 21:00:38 Iteration 2050 Training Loss: 7.045e-02 Loss in Target Net: 2.404e-03 |
2020-01-31 21:01:00 Iteration 2100 Training Loss: 5.845e-02 Loss in Target Net: 4.772e-03 |
2020-01-31 21:01:21 Iteration 2150 Training Loss: 6.149e-02 Loss in Target Net: 3.632e-03 |
2020-01-31 21:01:43 Iteration 2200 Training Loss: 6.557e-02 Loss in Target Net: 3.597e-03 |
2020-01-31 21:02:04 Iteration 2250 Training Loss: 6.290e-02 Loss in Target Net: 2.992e-03 |
2020-01-31 21:02:26 Iteration 2300 Training Loss: 6.095e-02 Loss in Target Net: 2.050e-03 |
2020-01-31 21:02:47 Iteration 2350 Training Loss: 6.347e-02 Loss in Target Net: 3.496e-03 |
2020-01-31 21:03:09 Iteration 2400 Training Loss: 6.227e-02 Loss in Target Net: 3.148e-03 |
2020-01-31 21:03:30 Iteration 2450 Training Loss: 5.996e-02 Loss in Target Net: 2.467e-03 |
2020-01-31 21:03:53 Iteration 2500 Training Loss: 6.551e-02 Loss in Target Net: 3.805e-03 |
2020-01-31 21:04:15 Iteration 2550 Training Loss: 6.582e-02 Loss in Target Net: 4.113e-03 |
2020-01-31 21:04:37 Iteration 2600 Training Loss: 6.722e-02 Loss in Target Net: 4.137e-03 |
2020-01-31 21:04:59 Iteration 2650 Training Loss: 5.840e-02 Loss in Target Net: 4.336e-03 |
2020-01-31 21:05:22 Iteration 2700 Training Loss: 6.677e-02 Loss in Target Net: 4.143e-03 |
2020-01-31 21:05:43 Iteration 2750 Training Loss: 6.697e-02 Loss in Target Net: 2.785e-03 |
2020-01-31 21:06:05 Iteration 2800 Training Loss: 6.656e-02 Loss in Target Net: 5.637e-03 |
2020-01-31 21:06:28 Iteration 2850 Training Loss: 6.479e-02 Loss in Target Net: 4.350e-03 |
2020-01-31 21:06:51 Iteration 2900 Training Loss: 6.270e-02 Loss in Target Net: 3.715e-03 |
2020-01-31 21:07:13 Iteration 2950 Training Loss: 6.890e-02 Loss in Target Net: 5.859e-03 |
2020-01-31 21:07:34 Iteration 3000 Training Loss: 6.479e-02 Loss in Target Net: 4.818e-03 |
2020-01-31 21:07:56 Iteration 3050 Training Loss: 6.393e-02 Loss in Target Net: 5.048e-03 |
2020-01-31 21:08:17 Iteration 3100 Training Loss: 6.663e-02 Loss in Target Net: 4.022e-03 |
2020-01-31 21:08:39 Iteration 3150 Training Loss: 6.178e-02 Loss in Target Net: 5.368e-03 |
2020-01-31 21:09:01 Iteration 3200 Training Loss: 6.602e-02 Loss in Target Net: 5.538e-03 |
2020-01-31 21:09:22 Iteration 3250 Training Loss: 6.479e-02 Loss in Target Net: 2.397e-03 |
2020-01-31 21:09:44 Iteration 3300 Training Loss: 6.537e-02 Loss in Target Net: 4.154e-03 |
2020-01-31 21:10:05 Iteration 3350 Training Loss: 6.091e-02 Loss in Target Net: 3.639e-03 |
2020-01-31 21:10:27 Iteration 3400 Training Loss: 6.230e-02 Loss in Target Net: 3.358e-03 |
2020-01-31 21:10:48 Iteration 3450 Training Loss: 6.082e-02 Loss in Target Net: 4.548e-03 |
2020-01-31 21:11:10 Iteration 3500 Training Loss: 6.629e-02 Loss in Target Net: 4.405e-03 |
2020-01-31 21:11:34 Iteration 3550 Training Loss: 5.845e-02 Loss in Target Net: 3.299e-03 |
2020-01-31 21:11:57 Iteration 3600 Training Loss: 6.418e-02 Loss in Target Net: 2.283e-03 |
2020-01-31 21:12:20 Iteration 3650 Training Loss: 5.598e-02 Loss in Target Net: 3.670e-03 |
2020-01-31 21:12:43 Iteration 3700 Training Loss: 6.771e-02 Loss in Target Net: 3.860e-03 |
2020-01-31 21:13:06 Iteration 3750 Training Loss: 6.068e-02 Loss in Target Net: 6.155e-03 |
2020-01-31 21:13:28 Iteration 3800 Training Loss: 6.454e-02 Loss in Target Net: 5.025e-03 |
2020-01-31 21:13:49 Iteration 3850 Training Loss: 6.325e-02 Loss in Target Net: 3.623e-03 |
2020-01-31 21:14:12 Iteration 3900 Training Loss: 6.568e-02 Loss in Target Net: 4.815e-03 |
2020-01-31 21:14:35 Iteration 3950 Training Loss: 6.288e-02 Loss in Target Net: 5.314e-03 |
2020-01-31 21:14:57 Iteration 3999 Training Loss: 6.563e-02 Loss in Target Net: 3.944e-03 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:15:01, Epoch 0, Iteration 7, loss 1.502 (4.318), acc 92.308 (67.200) |
2020-01-31 21:15:02, Epoch 30, Iteration 7, loss 0.029 (0.213), acc 98.077 (96.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-13.882163, -2.5244749, -31.340904, 6.312454, -14.296697, -4.8315425, 46.088818, -48.05022, 45.664673, -81.95657], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 21:15:06 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-01-31 21:15:13 Epoch 59, Val iteration 19, acc 91.600 (92.340) |
* Prec: 92.34000129699707 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:15:15, Epoch 0, Iteration 7, loss 0.470 (0.817), acc 92.308 (87.600) |
2020-01-31 21:15:15, Epoch 30, Iteration 7, loss 0.343 (0.287), acc 92.308 (92.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-3.1371872, -19.081888, -4.8668036, -2.9907737, 6.074855, -7.679463, 24.386591, -7.891097, 21.27983, -25.412683], Poisons' Predictions:[6, 6, 6, 6, 8] |
2020-01-31 21:15:16 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 21:15:18 Epoch 59, Val iteration 19, acc 94.000 (91.370) |
* Prec: 91.37000160217285 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:15:20, Epoch 0, Iteration 7, loss 1.047 (1.065), acc 98.077 (87.600) |
2020-01-31 21:15:21, Epoch 30, Iteration 7, loss 0.003 (0.012), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-45.47832, -30.468254, -41.763706, -43.306534, -35.607986, -108.5204, 20.948612, -39.286636, 20.534187, -70.12524], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 21:15:22 Epoch 59, Val iteration 0, acc 92.400 (92.400) |
2020-01-31 21:15:26 Epoch 59, Val iteration 19, acc 94.200 (93.600) |
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