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2020-01-31 21:56:24 Iteration 1300 Training Loss: 7.917e-02 Loss in Target Net: 1.192e-02 |
2020-01-31 21:56:44 Iteration 1350 Training Loss: 8.084e-02 Loss in Target Net: 1.739e-02 |
2020-01-31 21:57:04 Iteration 1400 Training Loss: 7.588e-02 Loss in Target Net: 1.413e-02 |
2020-01-31 21:57:25 Iteration 1450 Training Loss: 7.767e-02 Loss in Target Net: 1.917e-02 |
2020-01-31 21:57:46 Iteration 1500 Training Loss: 8.220e-02 Loss in Target Net: 2.211e-02 |
2020-01-31 21:58:06 Iteration 1550 Training Loss: 7.541e-02 Loss in Target Net: 1.791e-02 |
2020-01-31 21:58:26 Iteration 1600 Training Loss: 7.267e-02 Loss in Target Net: 1.921e-02 |
2020-01-31 21:58:47 Iteration 1650 Training Loss: 8.053e-02 Loss in Target Net: 1.431e-02 |
2020-01-31 21:59:08 Iteration 1700 Training Loss: 7.621e-02 Loss in Target Net: 1.549e-02 |
2020-01-31 21:59:29 Iteration 1750 Training Loss: 8.219e-02 Loss in Target Net: 1.558e-02 |
2020-01-31 21:59:49 Iteration 1800 Training Loss: 8.291e-02 Loss in Target Net: 1.536e-02 |
2020-01-31 22:00:09 Iteration 1850 Training Loss: 7.261e-02 Loss in Target Net: 1.256e-02 |
2020-01-31 22:00:30 Iteration 1900 Training Loss: 7.312e-02 Loss in Target Net: 1.303e-02 |
2020-01-31 22:00:51 Iteration 1950 Training Loss: 7.584e-02 Loss in Target Net: 2.200e-02 |
2020-01-31 22:01:11 Iteration 2000 Training Loss: 8.458e-02 Loss in Target Net: 1.747e-02 |
2020-01-31 22:01:32 Iteration 2050 Training Loss: 7.643e-02 Loss in Target Net: 1.503e-02 |
2020-01-31 22:01:52 Iteration 2100 Training Loss: 7.804e-02 Loss in Target Net: 1.881e-02 |
2020-01-31 22:02:12 Iteration 2150 Training Loss: 7.728e-02 Loss in Target Net: 1.772e-02 |
2020-01-31 22:02:33 Iteration 2200 Training Loss: 7.949e-02 Loss in Target Net: 1.684e-02 |
2020-01-31 22:02:53 Iteration 2250 Training Loss: 7.146e-02 Loss in Target Net: 1.436e-02 |
2020-01-31 22:03:13 Iteration 2300 Training Loss: 7.670e-02 Loss in Target Net: 2.393e-02 |
2020-01-31 22:03:34 Iteration 2350 Training Loss: 8.126e-02 Loss in Target Net: 1.777e-02 |
2020-01-31 22:03:54 Iteration 2400 Training Loss: 7.842e-02 Loss in Target Net: 1.688e-02 |
2020-01-31 22:04:14 Iteration 2450 Training Loss: 7.899e-02 Loss in Target Net: 1.681e-02 |
2020-01-31 22:04:35 Iteration 2500 Training Loss: 7.737e-02 Loss in Target Net: 2.085e-02 |
2020-01-31 22:04:55 Iteration 2550 Training Loss: 7.640e-02 Loss in Target Net: 1.692e-02 |
2020-01-31 22:05:15 Iteration 2600 Training Loss: 7.760e-02 Loss in Target Net: 1.694e-02 |
2020-01-31 22:05:35 Iteration 2650 Training Loss: 7.964e-02 Loss in Target Net: 1.960e-02 |
2020-01-31 22:05:55 Iteration 2700 Training Loss: 7.725e-02 Loss in Target Net: 2.320e-02 |
2020-01-31 22:06:16 Iteration 2750 Training Loss: 8.695e-02 Loss in Target Net: 1.770e-02 |
2020-01-31 22:06:36 Iteration 2800 Training Loss: 7.667e-02 Loss in Target Net: 1.899e-02 |
2020-01-31 22:06:56 Iteration 2850 Training Loss: 7.634e-02 Loss in Target Net: 2.143e-02 |
2020-01-31 22:07:17 Iteration 2900 Training Loss: 7.887e-02 Loss in Target Net: 2.026e-02 |
2020-01-31 22:07:37 Iteration 2950 Training Loss: 7.444e-02 Loss in Target Net: 1.980e-02 |
2020-01-31 22:07:58 Iteration 3000 Training Loss: 8.268e-02 Loss in Target Net: 2.225e-02 |
2020-01-31 22:08:18 Iteration 3050 Training Loss: 7.723e-02 Loss in Target Net: 1.548e-02 |
2020-01-31 22:08:38 Iteration 3100 Training Loss: 7.453e-02 Loss in Target Net: 1.896e-02 |
2020-01-31 22:08:59 Iteration 3150 Training Loss: 9.287e-02 Loss in Target Net: 1.585e-02 |
2020-01-31 22:09:20 Iteration 3200 Training Loss: 7.682e-02 Loss in Target Net: 1.894e-02 |
2020-01-31 22:09:40 Iteration 3250 Training Loss: 7.566e-02 Loss in Target Net: 1.432e-02 |
2020-01-31 22:10:01 Iteration 3300 Training Loss: 7.482e-02 Loss in Target Net: 1.894e-02 |
2020-01-31 22:10:21 Iteration 3350 Training Loss: 7.552e-02 Loss in Target Net: 1.962e-02 |
2020-01-31 22:10:42 Iteration 3400 Training Loss: 7.643e-02 Loss in Target Net: 1.844e-02 |
2020-01-31 22:11:02 Iteration 3450 Training Loss: 7.129e-02 Loss in Target Net: 2.406e-02 |
2020-01-31 22:11:22 Iteration 3500 Training Loss: 7.537e-02 Loss in Target Net: 2.079e-02 |
2020-01-31 22:11:43 Iteration 3550 Training Loss: 7.517e-02 Loss in Target Net: 1.590e-02 |
2020-01-31 22:12:03 Iteration 3600 Training Loss: 7.950e-02 Loss in Target Net: 1.887e-02 |
2020-01-31 22:12:23 Iteration 3650 Training Loss: 8.595e-02 Loss in Target Net: 1.411e-02 |
2020-01-31 22:12:44 Iteration 3700 Training Loss: 8.629e-02 Loss in Target Net: 2.124e-02 |
2020-01-31 22:13:04 Iteration 3750 Training Loss: 8.254e-02 Loss in Target Net: 1.981e-02 |
2020-01-31 22:13:26 Iteration 3800 Training Loss: 7.646e-02 Loss in Target Net: 1.934e-02 |
2020-01-31 22:13:45 Iteration 3850 Training Loss: 7.035e-02 Loss in Target Net: 1.866e-02 |
2020-01-31 22:14:06 Iteration 3900 Training Loss: 7.553e-02 Loss in Target Net: 2.409e-02 |
2020-01-31 22:14:26 Iteration 3950 Training Loss: 7.668e-02 Loss in Target Net: 1.923e-02 |
2020-01-31 22:14:45 Iteration 3999 Training Loss: 7.359e-02 Loss in Target Net: 1.631e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:14:49, Epoch 0, Iteration 7, loss 6.305 (4.334), acc 75.000 (66.600) |
2020-01-31 22:14:50, Epoch 30, Iteration 7, loss 0.064 (0.067), acc 98.077 (98.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-2.5663369, -29.893166, -42.34705, 10.650612, -9.298136, -3.988189, 35.568775, -71.955826, 43.27047, -96.23005], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:14:54 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 22:15:01 Epoch 59, Val iteration 19, acc 93.200 (92.170) |
* Prec: 92.17000236511231 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:03, Epoch 0, Iteration 7, loss 1.525 (0.628), acc 88.462 (89.400) |
2020-01-31 22:15:04, Epoch 30, Iteration 7, loss 0.049 (0.146), acc 98.077 (97.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-14.504675, -2.757402, -11.512459, 3.484621, 14.441238, -3.9184241, 19.773746, -14.490553, 22.303125, -9.3411665], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 22:15:04 Epoch 59, Val iteration 0, acc 91.400 (91.400) |
2020-01-31 22:15:06 Epoch 59, Val iteration 19, acc 93.000 (91.120) |
* Prec: 91.12000122070313 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:09, Epoch 0, Iteration 7, loss 0.005 (1.362), acc 100.000 (82.200) |
2020-01-31 22:15:09, 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:[-6.843939, -20.972277, -54.57867, -32.35873, -35.666607, -48.292187, 15.279064, 0.28187928, 27.05185, -27.482397], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:15:10 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 22:15:14 Epoch 59, Val iteration 19, acc 93.400 (92.710) |
* Prec: 92.71000175476074 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:17, Epoch 0, Iteration 7, loss 0.857 (2.052), acc 84.615 (72.800) |
2020-01-31 22:15:17, Epoch 30, Iteration 7, loss 0.070 (0.026), acc 98.077 (99.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-21.974546, -12.294439, -6.810041, 11.0455475, -31.53902, -13.966324, 15.300423, -42.00837, 14.210157, -20.298635], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 22:15:18 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 22:15:22 Epoch 59, Val iteration 19, acc 93.800 (92.860) |
* Prec: 92.86000175476075 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 22:15:25, Epoch 0, Iteration 7, loss 0.584 (0.505), acc 90.385 (89.400) |
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