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2020-01-31 17:46:30 Iteration 500 Training Loss: 7.263e-02 Loss in Target Net: 8.850e-03 |
2020-01-31 17:46:52 Iteration 550 Training Loss: 7.252e-02 Loss in Target Net: 1.028e-02 |
2020-01-31 17:47:12 Iteration 600 Training Loss: 7.153e-02 Loss in Target Net: 9.164e-03 |
2020-01-31 17:47:33 Iteration 650 Training Loss: 6.408e-02 Loss in Target Net: 1.070e-02 |
2020-01-31 17:47:54 Iteration 700 Training Loss: 6.293e-02 Loss in Target Net: 1.018e-02 |
2020-01-31 17:48:15 Iteration 750 Training Loss: 7.132e-02 Loss in Target Net: 8.798e-03 |
2020-01-31 17:48:37 Iteration 800 Training Loss: 6.939e-02 Loss in Target Net: 9.488e-03 |
2020-01-31 17:48:59 Iteration 850 Training Loss: 6.842e-02 Loss in Target Net: 9.307e-03 |
2020-01-31 17:49:19 Iteration 900 Training Loss: 6.818e-02 Loss in Target Net: 1.103e-02 |
2020-01-31 17:49:41 Iteration 950 Training Loss: 6.986e-02 Loss in Target Net: 8.343e-03 |
2020-01-31 17:50:04 Iteration 1000 Training Loss: 6.722e-02 Loss in Target Net: 8.952e-03 |
2020-01-31 17:50:25 Iteration 1050 Training Loss: 6.960e-02 Loss in Target Net: 1.002e-02 |
2020-01-31 17:50:46 Iteration 1100 Training Loss: 6.741e-02 Loss in Target Net: 8.433e-03 |
2020-01-31 17:51:08 Iteration 1150 Training Loss: 6.533e-02 Loss in Target Net: 8.446e-03 |
2020-01-31 17:51:30 Iteration 1200 Training Loss: 7.163e-02 Loss in Target Net: 8.291e-03 |
2020-01-31 17:51:51 Iteration 1250 Training Loss: 7.451e-02 Loss in Target Net: 7.355e-03 |
2020-01-31 17:52:11 Iteration 1300 Training Loss: 6.197e-02 Loss in Target Net: 7.299e-03 |
2020-01-31 17:52:32 Iteration 1350 Training Loss: 7.133e-02 Loss in Target Net: 1.032e-02 |
2020-01-31 17:52:52 Iteration 1400 Training Loss: 7.015e-02 Loss in Target Net: 5.300e-03 |
2020-01-31 17:53:12 Iteration 1450 Training Loss: 6.633e-02 Loss in Target Net: 3.099e-03 |
2020-01-31 17:53:34 Iteration 1500 Training Loss: 7.035e-02 Loss in Target Net: 7.882e-03 |
2020-01-31 17:53:55 Iteration 1550 Training Loss: 6.625e-02 Loss in Target Net: 6.220e-03 |
2020-01-31 17:54:16 Iteration 1600 Training Loss: 6.538e-02 Loss in Target Net: 5.605e-03 |
2020-01-31 17:54:36 Iteration 1650 Training Loss: 7.946e-02 Loss in Target Net: 4.449e-03 |
2020-01-31 17:54:57 Iteration 1700 Training Loss: 6.719e-02 Loss in Target Net: 7.447e-03 |
2020-01-31 17:55:18 Iteration 1750 Training Loss: 6.773e-02 Loss in Target Net: 6.423e-03 |
2020-01-31 17:55:39 Iteration 1800 Training Loss: 6.617e-02 Loss in Target Net: 5.390e-03 |
2020-01-31 17:55:59 Iteration 1850 Training Loss: 6.559e-02 Loss in Target Net: 6.915e-03 |
2020-01-31 17:56:20 Iteration 1900 Training Loss: 7.238e-02 Loss in Target Net: 8.155e-03 |
2020-01-31 17:56:40 Iteration 1950 Training Loss: 6.684e-02 Loss in Target Net: 6.858e-03 |
2020-01-31 17:57:01 Iteration 2000 Training Loss: 7.366e-02 Loss in Target Net: 8.524e-03 |
2020-01-31 17:57:22 Iteration 2050 Training Loss: 7.131e-02 Loss in Target Net: 5.183e-03 |
2020-01-31 17:57:43 Iteration 2100 Training Loss: 6.934e-02 Loss in Target Net: 5.497e-03 |
2020-01-31 17:58:05 Iteration 2150 Training Loss: 6.765e-02 Loss in Target Net: 3.934e-03 |
2020-01-31 17:58:26 Iteration 2200 Training Loss: 6.578e-02 Loss in Target Net: 6.892e-03 |
2020-01-31 17:58:47 Iteration 2250 Training Loss: 6.884e-02 Loss in Target Net: 4.563e-03 |
2020-01-31 17:59:08 Iteration 2300 Training Loss: 6.452e-02 Loss in Target Net: 6.022e-03 |
2020-01-31 17:59:30 Iteration 2350 Training Loss: 6.737e-02 Loss in Target Net: 5.982e-03 |
2020-01-31 17:59:51 Iteration 2400 Training Loss: 6.343e-02 Loss in Target Net: 6.662e-03 |
2020-01-31 18:00:12 Iteration 2450 Training Loss: 6.640e-02 Loss in Target Net: 3.969e-03 |
2020-01-31 18:00:33 Iteration 2500 Training Loss: 6.317e-02 Loss in Target Net: 4.119e-03 |
2020-01-31 18:00:53 Iteration 2550 Training Loss: 6.816e-02 Loss in Target Net: 3.970e-03 |
2020-01-31 18:01:14 Iteration 2600 Training Loss: 6.414e-02 Loss in Target Net: 6.211e-03 |
2020-01-31 18:01:35 Iteration 2650 Training Loss: 6.382e-02 Loss in Target Net: 6.493e-03 |
2020-01-31 18:01:56 Iteration 2700 Training Loss: 6.536e-02 Loss in Target Net: 5.376e-03 |
2020-01-31 18:02:17 Iteration 2750 Training Loss: 7.507e-02 Loss in Target Net: 5.472e-03 |
2020-01-31 18:02:38 Iteration 2800 Training Loss: 6.329e-02 Loss in Target Net: 3.165e-03 |
2020-01-31 18:02:58 Iteration 2850 Training Loss: 6.407e-02 Loss in Target Net: 5.295e-03 |
2020-01-31 18:03:19 Iteration 2900 Training Loss: 7.406e-02 Loss in Target Net: 4.792e-03 |
2020-01-31 18:03:40 Iteration 2950 Training Loss: 6.671e-02 Loss in Target Net: 7.486e-03 |
2020-01-31 18:04:01 Iteration 3000 Training Loss: 6.188e-02 Loss in Target Net: 6.193e-03 |
2020-01-31 18:04:22 Iteration 3050 Training Loss: 7.266e-02 Loss in Target Net: 5.051e-03 |
2020-01-31 18:04:43 Iteration 3100 Training Loss: 6.331e-02 Loss in Target Net: 4.674e-03 |
2020-01-31 18:05:04 Iteration 3150 Training Loss: 6.791e-02 Loss in Target Net: 4.787e-03 |
2020-01-31 18:05:25 Iteration 3200 Training Loss: 6.890e-02 Loss in Target Net: 4.612e-03 |
2020-01-31 18:05:46 Iteration 3250 Training Loss: 7.183e-02 Loss in Target Net: 5.530e-03 |
2020-01-31 18:06:08 Iteration 3300 Training Loss: 6.684e-02 Loss in Target Net: 6.559e-03 |
2020-01-31 18:06:28 Iteration 3350 Training Loss: 7.195e-02 Loss in Target Net: 6.742e-03 |
2020-01-31 18:06:50 Iteration 3400 Training Loss: 7.112e-02 Loss in Target Net: 5.410e-03 |
2020-01-31 18:07:12 Iteration 3450 Training Loss: 6.795e-02 Loss in Target Net: 4.879e-03 |
2020-01-31 18:07:32 Iteration 3500 Training Loss: 6.581e-02 Loss in Target Net: 4.251e-03 |
2020-01-31 18:07:53 Iteration 3550 Training Loss: 6.573e-02 Loss in Target Net: 5.142e-03 |
2020-01-31 18:08:14 Iteration 3600 Training Loss: 6.697e-02 Loss in Target Net: 6.867e-03 |
2020-01-31 18:08:35 Iteration 3650 Training Loss: 7.046e-02 Loss in Target Net: 4.793e-03 |
2020-01-31 18:08:56 Iteration 3700 Training Loss: 6.869e-02 Loss in Target Net: 4.032e-03 |
2020-01-31 18:09:17 Iteration 3750 Training Loss: 6.502e-02 Loss in Target Net: 6.555e-03 |
2020-01-31 18:09:38 Iteration 3800 Training Loss: 6.693e-02 Loss in Target Net: 5.620e-03 |
2020-01-31 18:10:01 Iteration 3850 Training Loss: 6.503e-02 Loss in Target Net: 3.738e-03 |
2020-01-31 18:10:22 Iteration 3900 Training Loss: 6.829e-02 Loss in Target Net: 4.123e-03 |
2020-01-31 18:10:44 Iteration 3950 Training Loss: 7.312e-02 Loss in Target Net: 3.781e-03 |
2020-01-31 18:11:05 Iteration 3999 Training Loss: 6.170e-02 Loss in Target Net: 3.588e-03 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:11:09, Epoch 0, Iteration 7, loss 0.524 (3.070), acc 94.231 (74.400) |
2020-01-31 18:11:09, Epoch 30, Iteration 7, loss 0.387 (0.105), acc 96.154 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-15.566457, -3.4697611, -63.774376, -7.8794847, -37.55152, -15.013702, 12.808393, -62.383675, 28.955967, -91.354416], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:11:14 Epoch 59, Val iteration 0, acc 90.400 (90.400) |
2020-01-31 18:11:21 Epoch 59, Val iteration 19, acc 92.400 (92.410) |
* Prec: 92.41000137329101 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:11:24, Epoch 0, Iteration 7, loss 0.161 (0.902), acc 94.231 (90.200) |
2020-01-31 18:11:24, Epoch 30, Iteration 7, loss 0.339 (0.127), acc 96.154 (96.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-3.3746552, -13.248632, -7.1123466, -4.414649, 10.841471, -8.171974, 18.894327, -13.842698, 24.230913, -8.637887], Poisons' Predictions:[8, 8, 6, 8, 8] |
2020-01-31 18:11:25 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 18:11:27 Epoch 59, Val iteration 19, acc 92.400 (91.380) |
* Prec: 91.38000144958497 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:11:29, Epoch 0, Iteration 7, loss 0.008 (0.414), acc 100.000 (92.800) |
2020-01-31 18:11:29, Epoch 30, Iteration 7, loss 0.000 (0.000), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-77.04619, -15.820089, -19.278347, -4.2545314, -41.61223, -6.6552334, 9.448893, -25.026606, 32.84475, -40.573704], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:11:30 Epoch 59, Val iteration 0, acc 92.400 (92.400) |
2020-01-31 18:11:34 Epoch 59, Val iteration 19, acc 92.600 (93.020) |
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