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2020-01-31 17:31:23 Iteration 2900 Training Loss: 7.007e-02 Loss in Target Net: 5.594e-03 |
2020-01-31 17:31:44 Iteration 2950 Training Loss: 7.078e-02 Loss in Target Net: 7.023e-03 |
2020-01-31 17:32:05 Iteration 3000 Training Loss: 6.940e-02 Loss in Target Net: 8.586e-03 |
2020-01-31 17:32:25 Iteration 3050 Training Loss: 7.203e-02 Loss in Target Net: 8.502e-03 |
2020-01-31 17:32:46 Iteration 3100 Training Loss: 7.481e-02 Loss in Target Net: 7.266e-03 |
2020-01-31 17:33:06 Iteration 3150 Training Loss: 7.140e-02 Loss in Target Net: 6.147e-03 |
2020-01-31 17:33:27 Iteration 3200 Training Loss: 6.930e-02 Loss in Target Net: 8.905e-03 |
2020-01-31 17:33:48 Iteration 3250 Training Loss: 6.668e-02 Loss in Target Net: 5.886e-03 |
2020-01-31 17:34:09 Iteration 3300 Training Loss: 6.598e-02 Loss in Target Net: 7.784e-03 |
2020-01-31 17:34:30 Iteration 3350 Training Loss: 7.095e-02 Loss in Target Net: 8.054e-03 |
2020-01-31 17:34:50 Iteration 3400 Training Loss: 6.691e-02 Loss in Target Net: 5.612e-03 |
2020-01-31 17:35:11 Iteration 3450 Training Loss: 6.662e-02 Loss in Target Net: 7.692e-03 |
2020-01-31 17:35:31 Iteration 3500 Training Loss: 7.306e-02 Loss in Target Net: 8.403e-03 |
2020-01-31 17:35:51 Iteration 3550 Training Loss: 7.193e-02 Loss in Target Net: 7.535e-03 |
2020-01-31 17:36:11 Iteration 3600 Training Loss: 7.361e-02 Loss in Target Net: 5.655e-03 |
2020-01-31 17:36:32 Iteration 3650 Training Loss: 6.751e-02 Loss in Target Net: 8.930e-03 |
2020-01-31 17:36:52 Iteration 3700 Training Loss: 6.624e-02 Loss in Target Net: 6.888e-03 |
2020-01-31 17:37:13 Iteration 3750 Training Loss: 6.279e-02 Loss in Target Net: 4.677e-03 |
2020-01-31 17:37:33 Iteration 3800 Training Loss: 6.674e-02 Loss in Target Net: 6.484e-03 |
2020-01-31 17:37:53 Iteration 3850 Training Loss: 6.755e-02 Loss in Target Net: 5.247e-03 |
2020-01-31 17:38:13 Iteration 3900 Training Loss: 6.827e-02 Loss in Target Net: 6.915e-03 |
2020-01-31 17:38:34 Iteration 3950 Training Loss: 6.499e-02 Loss in Target Net: 7.170e-03 |
2020-01-31 17:38:54 Iteration 3999 Training Loss: 6.841e-02 Loss in Target Net: 5.255e-03 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:38:58, Epoch 0, Iteration 7, loss 1.925 (4.709), acc 94.231 (66.600) |
2020-01-31 17:38:58, Epoch 30, Iteration 7, loss 0.023 (0.185), acc 98.077 (97.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-0.80016255, -7.911071, -34.07255, 5.160757, -39.111984, -8.319681, 31.229158, -48.971615, 32.02644, -114.87455], Poisons' Predictions:[8, 8, 8, 6, 6] |
2020-01-31 17:39:02 Epoch 59, Val iteration 0, acc 90.600 (90.600) |
2020-01-31 17:39:10 Epoch 59, Val iteration 19, acc 92.000 (91.470) |
* Prec: 91.47000160217286 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:12, Epoch 0, Iteration 7, loss 0.278 (0.826), acc 92.308 (88.000) |
2020-01-31 17:39:12, Epoch 30, Iteration 7, loss 0.300 (0.231), acc 94.231 (96.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.726221, -0.052211046, -15.702201, -6.1928663, 7.19618, -11.011281, 18.956026, -21.071781, 13.980593, -10.865518], Poisons' Predictions:[6, 6, 6, 6, 8] |
2020-01-31 17:39:13 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 17:39:15 Epoch 59, Val iteration 19, acc 93.200 (91.300) |
* Prec: 91.30000190734863 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:17, Epoch 0, Iteration 7, loss 0.000 (1.212), acc 100.000 (85.600) |
2020-01-31 17:39:17, Epoch 30, Iteration 7, loss 0.078 (0.023), acc 98.077 (99.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-19.491682, -29.949436, -37.094242, -50.780945, -79.39646, -20.71647, 28.456594, -32.61268, 31.479269, -21.689938], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 17:39:19 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 17:39:23 Epoch 59, Val iteration 19, acc 92.200 (92.560) |
* Prec: 92.56000213623047 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:25, Epoch 0, Iteration 7, loss 0.442 (1.994), acc 94.231 (76.600) |
2020-01-31 17:39:25, Epoch 30, Iteration 7, loss 0.003 (0.065), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-16.982943, 12.000373, -23.234573, -5.334654, -104.84651, -39.384563, 23.630392, -30.949734, 23.903727, -7.6499543], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 17:39:26 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 17:39:30 Epoch 59, Val iteration 19, acc 91.600 (92.410) |
* Prec: 92.41000137329101 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:33, Epoch 0, Iteration 7, loss 0.284 (0.436), acc 94.231 (91.000) |
2020-01-31 17:39:33, Epoch 30, Iteration 7, loss 0.057 (0.118), acc 98.077 (96.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-24.277996, -7.2645025, -19.227343, -3.5807192, -10.540869, -7.598644, 10.431395, -15.491375, 8.039913, -19.086695], Poisons' Predictions:[8, 6, 8, 6, 6] |
2020-01-31 17:39:36 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 17:39:40 Epoch 59, Val iteration 19, acc 91.600 (91.850) |
* Prec: 91.85000152587891 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:42, Epoch 0, Iteration 7, loss 2.058 (4.129), acc 76.923 (60.200) |
2020-01-31 17:39:43, Epoch 30, Iteration 7, loss 0.044 (0.194), acc 98.077 (95.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-1.9871278, -8.938333, -1.3481039, 12.296216, -19.821146, 3.677736, 21.315496, -24.675495, 18.450277, -11.864137], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 17:39:43 Epoch 59, Val iteration 0, acc 87.600 (87.600) |
2020-01-31 17:39:45 Epoch 59, Val iteration 19, acc 87.000 (86.400) |
* Prec: 86.40000114440917 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:47, Epoch 0, Iteration 7, loss 0.347 (0.599), acc 92.308 (86.200) |
2020-01-31 17:39:48, Epoch 30, Iteration 7, loss 0.018 (0.030), acc 98.077 (99.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-16.705027, -7.997029, -15.728946, 6.002464, -28.251234, -0.3269997, 16.179747, -16.286354, 12.350107, -41.194332], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 17:39:48 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 17:39:50 Epoch 59, Val iteration 19, acc 93.200 (92.400) |
* Prec: 92.40000228881836 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 17:39:53, Epoch 0, Iteration 7, loss 0.549 (0.492), acc 90.385 (90.600) |
2020-01-31 17:39:53, Epoch 30, Iteration 7, loss 0.002 (0.006), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-6.4480014, -9.620457, -11.942174, -6.3288846, -9.266637, -3.9912345, 7.626968, -29.118717, 4.367141, -13.871293], Poisons' Predictions:[8, 8, 8, 8, 8] |
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