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2020-01-31 18:51:57 Iteration 1300 Training Loss: 6.606e-02 Loss in Target Net: 2.347e-02 |
2020-01-31 18:52:19 Iteration 1350 Training Loss: 6.726e-02 Loss in Target Net: 1.982e-02 |
2020-01-31 18:52:40 Iteration 1400 Training Loss: 7.177e-02 Loss in Target Net: 2.309e-02 |
2020-01-31 18:53:01 Iteration 1450 Training Loss: 6.527e-02 Loss in Target Net: 2.206e-02 |
2020-01-31 18:53:23 Iteration 1500 Training Loss: 6.924e-02 Loss in Target Net: 1.502e-02 |
2020-01-31 18:53:44 Iteration 1550 Training Loss: 7.200e-02 Loss in Target Net: 9.676e-03 |
2020-01-31 18:54:05 Iteration 1600 Training Loss: 7.150e-02 Loss in Target Net: 1.244e-02 |
2020-01-31 18:54:27 Iteration 1650 Training Loss: 7.185e-02 Loss in Target Net: 1.780e-02 |
2020-01-31 18:54:49 Iteration 1700 Training Loss: 7.041e-02 Loss in Target Net: 1.712e-02 |
2020-01-31 18:55:10 Iteration 1750 Training Loss: 6.455e-02 Loss in Target Net: 1.518e-02 |
2020-01-31 18:55:31 Iteration 1800 Training Loss: 7.064e-02 Loss in Target Net: 9.850e-03 |
2020-01-31 18:55:52 Iteration 1850 Training Loss: 6.830e-02 Loss in Target Net: 1.353e-02 |
2020-01-31 18:56:14 Iteration 1900 Training Loss: 6.612e-02 Loss in Target Net: 1.900e-02 |
2020-01-31 18:56:36 Iteration 1950 Training Loss: 6.945e-02 Loss in Target Net: 1.837e-02 |
2020-01-31 18:56:57 Iteration 2000 Training Loss: 6.488e-02 Loss in Target Net: 1.583e-02 |
2020-01-31 18:57:19 Iteration 2050 Training Loss: 6.817e-02 Loss in Target Net: 1.845e-02 |
2020-01-31 18:57:40 Iteration 2100 Training Loss: 6.506e-02 Loss in Target Net: 1.839e-02 |
2020-01-31 18:58:01 Iteration 2150 Training Loss: 7.013e-02 Loss in Target Net: 1.619e-02 |
2020-01-31 18:58:23 Iteration 2200 Training Loss: 7.213e-02 Loss in Target Net: 1.087e-02 |
2020-01-31 18:58:45 Iteration 2250 Training Loss: 7.363e-02 Loss in Target Net: 1.876e-02 |
2020-01-31 18:59:06 Iteration 2300 Training Loss: 7.075e-02 Loss in Target Net: 1.601e-02 |
2020-01-31 18:59:27 Iteration 2350 Training Loss: 7.043e-02 Loss in Target Net: 1.506e-02 |
2020-01-31 18:59:49 Iteration 2400 Training Loss: 6.911e-02 Loss in Target Net: 1.249e-02 |
2020-01-31 19:00:10 Iteration 2450 Training Loss: 6.830e-02 Loss in Target Net: 8.337e-03 |
2020-01-31 19:00:32 Iteration 2500 Training Loss: 6.724e-02 Loss in Target Net: 1.854e-02 |
2020-01-31 19:00:53 Iteration 2550 Training Loss: 6.705e-02 Loss in Target Net: 1.802e-02 |
2020-01-31 19:01:15 Iteration 2600 Training Loss: 7.064e-02 Loss in Target Net: 1.067e-02 |
2020-01-31 19:01:36 Iteration 2650 Training Loss: 6.815e-02 Loss in Target Net: 1.058e-02 |
2020-01-31 19:01:58 Iteration 2700 Training Loss: 7.312e-02 Loss in Target Net: 1.142e-02 |
2020-01-31 19:02:19 Iteration 2750 Training Loss: 6.675e-02 Loss in Target Net: 1.023e-02 |
2020-01-31 19:02:41 Iteration 2800 Training Loss: 6.776e-02 Loss in Target Net: 1.589e-02 |
2020-01-31 19:03:02 Iteration 2850 Training Loss: 7.242e-02 Loss in Target Net: 1.378e-02 |
2020-01-31 19:03:23 Iteration 2900 Training Loss: 6.994e-02 Loss in Target Net: 1.048e-02 |
2020-01-31 19:03:45 Iteration 2950 Training Loss: 6.726e-02 Loss in Target Net: 1.337e-02 |
2020-01-31 19:04:06 Iteration 3000 Training Loss: 6.467e-02 Loss in Target Net: 2.386e-02 |
2020-01-31 19:04:27 Iteration 3050 Training Loss: 7.627e-02 Loss in Target Net: 1.142e-02 |
2020-01-31 19:04:48 Iteration 3100 Training Loss: 6.887e-02 Loss in Target Net: 1.544e-02 |
2020-01-31 19:05:09 Iteration 3150 Training Loss: 6.712e-02 Loss in Target Net: 8.649e-03 |
2020-01-31 19:05:31 Iteration 3200 Training Loss: 6.661e-02 Loss in Target Net: 1.600e-02 |
2020-01-31 19:05:53 Iteration 3250 Training Loss: 6.363e-02 Loss in Target Net: 9.599e-03 |
2020-01-31 19:06:15 Iteration 3300 Training Loss: 6.734e-02 Loss in Target Net: 1.311e-02 |
2020-01-31 19:06:36 Iteration 3350 Training Loss: 6.948e-02 Loss in Target Net: 1.340e-02 |
2020-01-31 19:06:58 Iteration 3400 Training Loss: 6.707e-02 Loss in Target Net: 2.118e-02 |
2020-01-31 19:07:20 Iteration 3450 Training Loss: 6.574e-02 Loss in Target Net: 1.627e-02 |
2020-01-31 19:07:41 Iteration 3500 Training Loss: 7.273e-02 Loss in Target Net: 1.633e-02 |
2020-01-31 19:08:03 Iteration 3550 Training Loss: 7.017e-02 Loss in Target Net: 1.097e-02 |
2020-01-31 19:08:24 Iteration 3600 Training Loss: 6.383e-02 Loss in Target Net: 1.899e-02 |
2020-01-31 19:08:46 Iteration 3650 Training Loss: 7.216e-02 Loss in Target Net: 1.336e-02 |
2020-01-31 19:09:07 Iteration 3700 Training Loss: 6.689e-02 Loss in Target Net: 1.446e-02 |
2020-01-31 19:09:29 Iteration 3750 Training Loss: 7.053e-02 Loss in Target Net: 1.229e-02 |
2020-01-31 19:09:50 Iteration 3800 Training Loss: 6.949e-02 Loss in Target Net: 9.795e-03 |
2020-01-31 19:10:11 Iteration 3850 Training Loss: 7.037e-02 Loss in Target Net: 1.565e-02 |
2020-01-31 19:10:33 Iteration 3900 Training Loss: 7.070e-02 Loss in Target Net: 1.304e-02 |
2020-01-31 19:10:54 Iteration 3950 Training Loss: 6.998e-02 Loss in Target Net: 1.945e-02 |
2020-01-31 19:11:15 Iteration 3999 Training Loss: 6.935e-02 Loss in Target Net: 1.192e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:20, Epoch 0, Iteration 7, loss 1.209 (3.851), acc 90.385 (69.000) |
2020-01-31 19:11:20, Epoch 30, Iteration 7, loss 0.125 (0.086), acc 96.154 (97.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[18.310575, -59.088066, -59.629948, -3.0939174, -51.810463, -13.267129, 30.50546, -76.36181, 27.940355, -120.60259], Poisons' Predictions:[8, 8, 6, 6, 6] |
2020-01-31 19:11:24 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-01-31 19:11:31 Epoch 59, Val iteration 19, acc 91.800 (91.730) |
* Prec: 91.73000106811523 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:34, Epoch 0, Iteration 7, loss 2.269 (1.014), acc 90.385 (86.600) |
2020-01-31 19:11:34, Epoch 30, Iteration 7, loss 0.291 (0.137), acc 94.231 (96.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-1.8782656, -26.029871, -17.5837, -10.38109, 2.5420265, -16.460749, 21.370714, -18.21586, 15.581197, -22.211061], Poisons' Predictions:[6, 6, 6, 8, 6] |
2020-01-31 19:11:35 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-01-31 19:11:37 Epoch 59, Val iteration 19, acc 93.000 (91.280) |
* Prec: 91.28000144958496 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:39, Epoch 0, Iteration 7, loss 0.000 (0.627), acc 100.000 (92.400) |
2020-01-31 19:11:39, Epoch 30, Iteration 7, loss 0.000 (0.010), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-60.21545, -18.480341, -34.42292, -8.338462, -46.142357, -84.09047, 12.529264, -73.50548, 6.946259, -46.439423], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:41 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 19:11:45 Epoch 59, Val iteration 19, acc 93.200 (91.910) |
* Prec: 91.91000213623047 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:47, Epoch 0, Iteration 7, loss 1.633 (2.637), acc 75.000 (68.600) |
2020-01-31 19:11:48, Epoch 30, Iteration 7, loss 0.035 (0.046), acc 100.000 (98.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-33.019505, -20.661364, -9.10001, 18.961294, -59.797344, -33.486, 31.986574, -31.813572, 31.095299, -44.094395], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:49 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 19:11:53 Epoch 59, Val iteration 19, acc 92.200 (92.270) |
* Prec: 92.2700008392334 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:56, Epoch 0, Iteration 7, loss 0.311 (0.374), acc 90.385 (91.200) |
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