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2020-01-31 19:58:17 Iteration 2100 Training Loss: 6.321e-02 Loss in Target Net: 1.110e-02 |
2020-01-31 19:58:39 Iteration 2150 Training Loss: 6.440e-02 Loss in Target Net: 1.063e-02 |
2020-01-31 19:59:01 Iteration 2200 Training Loss: 6.008e-02 Loss in Target Net: 1.192e-02 |
2020-01-31 19:59:22 Iteration 2250 Training Loss: 6.987e-02 Loss in Target Net: 8.602e-03 |
2020-01-31 19:59:44 Iteration 2300 Training Loss: 6.956e-02 Loss in Target Net: 1.154e-02 |
2020-01-31 20:00:06 Iteration 2350 Training Loss: 6.897e-02 Loss in Target Net: 1.173e-02 |
2020-01-31 20:00:28 Iteration 2400 Training Loss: 6.309e-02 Loss in Target Net: 1.078e-02 |
2020-01-31 20:00:50 Iteration 2450 Training Loss: 6.733e-02 Loss in Target Net: 1.140e-02 |
2020-01-31 20:01:12 Iteration 2500 Training Loss: 6.133e-02 Loss in Target Net: 1.349e-02 |
2020-01-31 20:01:34 Iteration 2550 Training Loss: 6.267e-02 Loss in Target Net: 1.631e-02 |
2020-01-31 20:01:56 Iteration 2600 Training Loss: 6.161e-02 Loss in Target Net: 1.282e-02 |
2020-01-31 20:02:17 Iteration 2650 Training Loss: 6.591e-02 Loss in Target Net: 1.144e-02 |
2020-01-31 20:02:39 Iteration 2700 Training Loss: 7.001e-02 Loss in Target Net: 1.108e-02 |
2020-01-31 20:03:01 Iteration 2750 Training Loss: 6.625e-02 Loss in Target Net: 1.314e-02 |
2020-01-31 20:03:23 Iteration 2800 Training Loss: 6.811e-02 Loss in Target Net: 1.369e-02 |
2020-01-31 20:03:45 Iteration 2850 Training Loss: 6.928e-02 Loss in Target Net: 1.080e-02 |
2020-01-31 20:04:06 Iteration 2900 Training Loss: 6.265e-02 Loss in Target Net: 1.421e-02 |
2020-01-31 20:04:28 Iteration 2950 Training Loss: 6.240e-02 Loss in Target Net: 1.396e-02 |
2020-01-31 20:04:50 Iteration 3000 Training Loss: 6.607e-02 Loss in Target Net: 1.017e-02 |
2020-01-31 20:05:11 Iteration 3050 Training Loss: 6.220e-02 Loss in Target Net: 9.867e-03 |
2020-01-31 20:05:33 Iteration 3100 Training Loss: 6.959e-02 Loss in Target Net: 9.835e-03 |
2020-01-31 20:05:55 Iteration 3150 Training Loss: 7.260e-02 Loss in Target Net: 1.114e-02 |
2020-01-31 20:06:17 Iteration 3200 Training Loss: 6.355e-02 Loss in Target Net: 1.496e-02 |
2020-01-31 20:06:39 Iteration 3250 Training Loss: 6.925e-02 Loss in Target Net: 1.063e-02 |
2020-01-31 20:07:01 Iteration 3300 Training Loss: 6.498e-02 Loss in Target Net: 1.266e-02 |
2020-01-31 20:07:22 Iteration 3350 Training Loss: 5.961e-02 Loss in Target Net: 1.167e-02 |
2020-01-31 20:07:44 Iteration 3400 Training Loss: 6.221e-02 Loss in Target Net: 1.419e-02 |
2020-01-31 20:08:06 Iteration 3450 Training Loss: 6.785e-02 Loss in Target Net: 1.251e-02 |
2020-01-31 20:08:28 Iteration 3500 Training Loss: 6.797e-02 Loss in Target Net: 1.458e-02 |
2020-01-31 20:08:50 Iteration 3550 Training Loss: 5.830e-02 Loss in Target Net: 1.503e-02 |
2020-01-31 20:09:12 Iteration 3600 Training Loss: 7.101e-02 Loss in Target Net: 1.172e-02 |
2020-01-31 20:09:33 Iteration 3650 Training Loss: 7.014e-02 Loss in Target Net: 1.118e-02 |
2020-01-31 20:09:55 Iteration 3700 Training Loss: 6.405e-02 Loss in Target Net: 9.275e-03 |
2020-01-31 20:10:17 Iteration 3750 Training Loss: 6.877e-02 Loss in Target Net: 1.320e-02 |
2020-01-31 20:10:39 Iteration 3800 Training Loss: 6.228e-02 Loss in Target Net: 1.340e-02 |
2020-01-31 20:11:01 Iteration 3850 Training Loss: 6.906e-02 Loss in Target Net: 1.065e-02 |
2020-01-31 20:11:22 Iteration 3900 Training Loss: 6.617e-02 Loss in Target Net: 1.120e-02 |
2020-01-31 20:11:44 Iteration 3950 Training Loss: 6.998e-02 Loss in Target Net: 1.442e-02 |
2020-01-31 20:12:05 Iteration 3999 Training Loss: 6.438e-02 Loss in Target Net: 1.505e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:10, Epoch 0, Iteration 7, loss 0.812 (4.834), acc 96.154 (64.200) |
2020-01-31 20:12:10, Epoch 30, Iteration 7, loss 0.000 (0.121), acc 100.000 (98.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[20.35275, 6.9358115, -44.726646, 8.136148, -19.5522, 2.5252798, 41.778843, -17.685513, 37.405838, -87.357346], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:12:14 Epoch 59, Val iteration 0, acc 91.400 (91.400) |
2020-01-31 20:12:21 Epoch 59, Val iteration 19, acc 92.200 (92.730) |
* Prec: 92.73000221252441 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:23, Epoch 0, Iteration 7, loss 0.384 (0.751), acc 90.385 (86.400) |
2020-01-31 20:12:23, Epoch 30, Iteration 7, loss 0.444 (0.169), acc 94.231 (97.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[2.024754, 2.6447048, -6.0910735, 2.6231914, 7.6946354, -5.958521, 20.782953, -2.0419126, 15.206878, -15.694401], Poisons' Predictions:[8, 6, 6, 8, 8] |
2020-01-31 20:12:24 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 20:12:26 Epoch 59, Val iteration 19, acc 92.200 (91.410) |
* Prec: 91.41000213623047 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:28, Epoch 0, Iteration 7, loss 0.474 (1.412), acc 98.077 (84.000) |
2020-01-31 20:12:29, Epoch 30, Iteration 7, loss 0.000 (0.039), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-22.669186, -3.5176213, -30.972704, -34.62144, -17.769533, -32.715252, 20.787241, -8.988513, 22.594183, -28.463161], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:12:30 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 20:12:34 Epoch 59, Val iteration 19, acc 93.200 (93.500) |
* Prec: 93.50000114440918 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:36, Epoch 0, Iteration 7, loss 2.204 (2.469), acc 76.923 (76.000) |
2020-01-31 20:12:37, Epoch 30, Iteration 7, loss 0.008 (0.014), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-30.403364, -25.105145, -9.922031, 1.5303122, -73.11169, -45.867508, 21.697893, -10.638343, 23.719732, -23.01786], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:12:38 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 20:12:42 Epoch 59, Val iteration 19, acc 92.800 (93.130) |
* Prec: 93.13000183105468 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:45, Epoch 0, Iteration 7, loss 0.198 (0.423), acc 92.308 (90.800) |
2020-01-31 20:12:45, Epoch 30, Iteration 7, loss 0.019 (0.040), acc 98.077 (98.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-18.061548, -6.8495073, -8.323099, -0.32989526, -9.638773, -3.6511326, 7.28806, -1.8087912, 7.201939, -19.30132], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:12:47 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 20:12:52 Epoch 59, Val iteration 19, acc 91.600 (92.160) |
* Prec: 92.16000099182129 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:12:54, Epoch 0, Iteration 7, loss 2.286 (3.224), acc 76.923 (64.200) |
2020-01-31 20:12:54, Epoch 30, Iteration 7, loss 0.123 (0.208), acc 94.231 (95.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[0.3265592, -14.532937, 2.362017, 14.790336, -1.905998, -2.3465738, 27.118378, -21.818008, 20.154295, -19.160225], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 20:12:55 Epoch 59, Val iteration 0, acc 87.400 (87.400) |
2020-01-31 20:12:57 Epoch 59, Val iteration 19, acc 88.000 (86.920) |
* Prec: 86.92000198364258 |
-------- |
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