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2020-01-31 19:30:12 Iteration 2300 Training Loss: 8.928e-02 Loss in Target Net: 1.222e-02 |
2020-01-31 19:30:34 Iteration 2350 Training Loss: 8.176e-02 Loss in Target Net: 1.000e-02 |
2020-01-31 19:30:59 Iteration 2400 Training Loss: 8.602e-02 Loss in Target Net: 1.490e-02 |
2020-01-31 19:31:23 Iteration 2450 Training Loss: 8.203e-02 Loss in Target Net: 1.031e-02 |
2020-01-31 19:31:48 Iteration 2500 Training Loss: 8.377e-02 Loss in Target Net: 1.057e-02 |
2020-01-31 19:32:12 Iteration 2550 Training Loss: 7.825e-02 Loss in Target Net: 1.552e-02 |
2020-01-31 19:32:37 Iteration 2600 Training Loss: 8.015e-02 Loss in Target Net: 1.152e-02 |
2020-01-31 19:33:02 Iteration 2650 Training Loss: 8.056e-02 Loss in Target Net: 1.259e-02 |
2020-01-31 19:33:26 Iteration 2700 Training Loss: 7.646e-02 Loss in Target Net: 1.203e-02 |
2020-01-31 19:33:50 Iteration 2750 Training Loss: 8.194e-02 Loss in Target Net: 1.101e-02 |
2020-01-31 19:34:15 Iteration 2800 Training Loss: 7.454e-02 Loss in Target Net: 1.236e-02 |
2020-01-31 19:34:39 Iteration 2850 Training Loss: 7.372e-02 Loss in Target Net: 1.453e-02 |
2020-01-31 19:35:04 Iteration 2900 Training Loss: 7.516e-02 Loss in Target Net: 1.058e-02 |
2020-01-31 19:35:28 Iteration 2950 Training Loss: 7.969e-02 Loss in Target Net: 1.262e-02 |
2020-01-31 19:35:53 Iteration 3000 Training Loss: 7.651e-02 Loss in Target Net: 1.299e-02 |
2020-01-31 19:36:18 Iteration 3050 Training Loss: 7.873e-02 Loss in Target Net: 1.286e-02 |
2020-01-31 19:36:40 Iteration 3100 Training Loss: 8.077e-02 Loss in Target Net: 1.437e-02 |
2020-01-31 19:37:05 Iteration 3150 Training Loss: 8.514e-02 Loss in Target Net: 1.228e-02 |
2020-01-31 19:37:30 Iteration 3200 Training Loss: 7.520e-02 Loss in Target Net: 1.413e-02 |
2020-01-31 19:37:54 Iteration 3250 Training Loss: 7.809e-02 Loss in Target Net: 9.014e-03 |
2020-01-31 19:38:19 Iteration 3300 Training Loss: 7.792e-02 Loss in Target Net: 9.524e-03 |
2020-01-31 19:38:44 Iteration 3350 Training Loss: 7.804e-02 Loss in Target Net: 1.372e-02 |
2020-01-31 19:39:08 Iteration 3400 Training Loss: 7.717e-02 Loss in Target Net: 1.322e-02 |
2020-01-31 19:39:32 Iteration 3450 Training Loss: 8.002e-02 Loss in Target Net: 9.124e-03 |
2020-01-31 19:39:57 Iteration 3500 Training Loss: 7.939e-02 Loss in Target Net: 1.170e-02 |
2020-01-31 19:40:21 Iteration 3550 Training Loss: 8.096e-02 Loss in Target Net: 1.499e-02 |
2020-01-31 19:40:45 Iteration 3600 Training Loss: 7.736e-02 Loss in Target Net: 1.557e-02 |
2020-01-31 19:41:08 Iteration 3650 Training Loss: 7.892e-02 Loss in Target Net: 1.236e-02 |
2020-01-31 19:41:32 Iteration 3700 Training Loss: 7.577e-02 Loss in Target Net: 1.359e-02 |
2020-01-31 19:41:55 Iteration 3750 Training Loss: 7.916e-02 Loss in Target Net: 1.445e-02 |
2020-01-31 19:42:18 Iteration 3800 Training Loss: 8.663e-02 Loss in Target Net: 1.544e-02 |
2020-01-31 19:42:39 Iteration 3850 Training Loss: 7.918e-02 Loss in Target Net: 1.248e-02 |
2020-01-31 19:43:01 Iteration 3900 Training Loss: 8.392e-02 Loss in Target Net: 1.194e-02 |
2020-01-31 19:43:24 Iteration 3950 Training Loss: 7.523e-02 Loss in Target Net: 1.033e-02 |
2020-01-31 19:43:46 Iteration 3999 Training Loss: 7.717e-02 Loss in Target Net: 1.171e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:43:50, Epoch 0, Iteration 7, loss 0.588 (3.118), acc 94.231 (69.400) |
2020-01-31 19:43:51, Epoch 30, Iteration 7, loss 0.348 (0.342), acc 96.154 (96.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[24.549795, -4.651642, -35.287354, 2.530649, -65.04198, -16.300123, 16.567772, -32.92669, 30.686068, -82.606606], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:43:55 Epoch 59, Val iteration 0, acc 90.400 (90.400) |
2020-01-31 19:44:02 Epoch 59, Val iteration 19, acc 92.600 (92.050) |
* Prec: 92.05000076293945 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:04, Epoch 0, Iteration 7, loss 0.903 (0.837), acc 88.462 (88.200) |
2020-01-31 19:44:04, Epoch 30, Iteration 7, loss 0.288 (0.254), acc 96.154 (95.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[3.3199935, -20.430538, 0.038837194, -1.0559171, 2.2207158, -9.882634, 14.500806, -1.4266272, 11.574135, -15.971872], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 19:44:05 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 19:44:07 Epoch 59, Val iteration 19, acc 92.000 (91.450) |
* Prec: 91.4500015258789 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:10, Epoch 0, Iteration 7, loss 1.477 (1.266), acc 92.308 (86.400) |
2020-01-31 19:44:10, 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:[-32.128872, -64.41158, -55.65246, -68.93654, -92.55273, -47.519608, -4.6741166, -59.88142, 14.307648, -53.914375], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:44:11 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 19:44:15 Epoch 59, Val iteration 19, acc 92.200 (92.600) |
* Prec: 92.60000190734863 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:17, Epoch 0, Iteration 7, loss 1.838 (1.872), acc 90.385 (75.800) |
2020-01-31 19:44:18, Epoch 30, Iteration 7, loss 0.205 (0.089), acc 96.154 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-9.168781, -4.0684714, 2.3154645, 2.3506665, -66.8945, -25.693052, -0.28914213, -21.148815, 8.538836, -20.461443], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:44:19 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-01-31 19:44:23 Epoch 59, Val iteration 19, acc 92.400 (92.440) |
* Prec: 92.4400016784668 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:26, Epoch 0, Iteration 7, loss 0.565 (0.496), acc 82.692 (88.400) |
2020-01-31 19:44:26, Epoch 30, Iteration 7, loss 0.015 (0.049), acc 100.000 (98.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-18.217485, -3.498394, -8.027208, -1.5936363, -17.024595, -5.0882316, 3.1555629, -32.91182, 7.0108247, -15.521954], Poisons' Predictions:[8, 8, 8, 6, 6] |
2020-01-31 19:44:28 Epoch 59, Val iteration 0, acc 90.400 (90.400) |
2020-01-31 19:44:33 Epoch 59, Val iteration 19, acc 91.200 (91.340) |
* Prec: 91.34000205993652 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:35, Epoch 0, Iteration 7, loss 1.846 (2.240), acc 75.000 (70.400) |
2020-01-31 19:44:36, Epoch 30, Iteration 7, loss 0.012 (0.124), acc 100.000 (96.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[3.4919732, -25.956467, 6.0053277, 13.138833, -46.78353, -2.2211654, 20.05075, -8.24978, 18.250092, -39.547585], Poisons' Predictions:[8, 8, 8, 6, 8] |
2020-01-31 19:44:36 Epoch 59, Val iteration 0, acc 88.400 (88.400) |
2020-01-31 19:44:38 Epoch 59, Val iteration 19, acc 88.400 (87.010) |
* Prec: 87.01000175476074 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:44:40, Epoch 0, Iteration 7, loss 0.288 (0.643), acc 94.231 (89.600) |
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