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2020-01-31 18:37:28 Iteration 2900 Training Loss: 8.378e-02 Loss in Target Net: 1.183e-02 |
2020-01-31 18:37:50 Iteration 2950 Training Loss: 9.025e-02 Loss in Target Net: 7.683e-03 |
2020-01-31 18:38:11 Iteration 3000 Training Loss: 8.964e-02 Loss in Target Net: 6.866e-03 |
2020-01-31 18:38:34 Iteration 3050 Training Loss: 8.532e-02 Loss in Target Net: 7.721e-03 |
2020-01-31 18:38:55 Iteration 3100 Training Loss: 9.019e-02 Loss in Target Net: 7.654e-03 |
2020-01-31 18:39:17 Iteration 3150 Training Loss: 8.807e-02 Loss in Target Net: 1.162e-02 |
2020-01-31 18:39:38 Iteration 3200 Training Loss: 8.433e-02 Loss in Target Net: 1.084e-02 |
2020-01-31 18:40:00 Iteration 3250 Training Loss: 8.956e-02 Loss in Target Net: 1.622e-02 |
2020-01-31 18:40:21 Iteration 3300 Training Loss: 9.044e-02 Loss in Target Net: 9.881e-03 |
2020-01-31 18:40:43 Iteration 3350 Training Loss: 9.025e-02 Loss in Target Net: 1.239e-02 |
2020-01-31 18:41:05 Iteration 3400 Training Loss: 8.177e-02 Loss in Target Net: 9.792e-03 |
2020-01-31 18:41:27 Iteration 3450 Training Loss: 9.012e-02 Loss in Target Net: 8.789e-03 |
2020-01-31 18:41:49 Iteration 3500 Training Loss: 8.823e-02 Loss in Target Net: 1.127e-02 |
2020-01-31 18:42:11 Iteration 3550 Training Loss: 8.135e-02 Loss in Target Net: 1.109e-02 |
2020-01-31 18:42:33 Iteration 3600 Training Loss: 9.186e-02 Loss in Target Net: 1.343e-02 |
2020-01-31 18:42:55 Iteration 3650 Training Loss: 8.569e-02 Loss in Target Net: 1.468e-02 |
2020-01-31 18:43:17 Iteration 3700 Training Loss: 8.013e-02 Loss in Target Net: 1.057e-02 |
2020-01-31 18:43:39 Iteration 3750 Training Loss: 8.057e-02 Loss in Target Net: 1.190e-02 |
2020-01-31 18:44:00 Iteration 3800 Training Loss: 9.206e-02 Loss in Target Net: 8.376e-03 |
2020-01-31 18:44:21 Iteration 3850 Training Loss: 9.441e-02 Loss in Target Net: 1.299e-02 |
2020-01-31 18:44:42 Iteration 3900 Training Loss: 9.245e-02 Loss in Target Net: 1.452e-02 |
2020-01-31 18:45:04 Iteration 3950 Training Loss: 8.647e-02 Loss in Target Net: 1.573e-02 |
2020-01-31 18:45:24 Iteration 3999 Training Loss: 8.438e-02 Loss in Target Net: 1.333e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:45:28, Epoch 0, Iteration 7, loss 0.678 (4.624), acc 88.462 (64.000) |
2020-01-31 18:45:29, Epoch 30, Iteration 7, loss 0.048 (0.096), acc 98.077 (97.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[16.853819, -26.623667, -52.897556, -1.8628172, -22.140545, -3.9637299, 24.38663, -57.382603, 39.596893, -53.743656], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 18:45:33 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 18:45:40 Epoch 59, Val iteration 19, acc 93.000 (92.600) |
* Prec: 92.60000114440918 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:45:42, Epoch 0, Iteration 7, loss 0.769 (0.754), acc 76.923 (85.400) |
2020-01-31 18:45:42, Epoch 30, Iteration 7, loss 0.068 (0.099), acc 98.077 (98.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[8.175006, -28.723589, -6.7700095, 3.9463444, 12.631615, -2.596552, 29.755198, -17.232445, 30.605286, -14.645737], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 18:45:43 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 18:45:45 Epoch 59, Val iteration 19, acc 92.600 (91.330) |
* Prec: 91.3300006866455 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:45:47, Epoch 0, Iteration 7, loss 2.238 (1.279), acc 96.154 (84.200) |
2020-01-31 18:45:48, 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:[-86.20729, -37.11573, -35.99422, -76.09841, -30.73371, -45.9772, 16.611654, -52.915024, 26.77509, -58.229496], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:45:49 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 18:45:53 Epoch 59, Val iteration 19, acc 92.800 (93.200) |
* Prec: 93.20000228881835 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:45:55, Epoch 0, Iteration 7, loss 0.495 (2.090), acc 94.231 (74.800) |
2020-01-31 18:45:55, Epoch 30, Iteration 7, loss 0.005 (0.031), acc 100.000 (99.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-19.112345, -19.497747, -23.701427, 1.533067, -50.72563, -19.852869, 16.086266, -14.709395, 26.196962, -22.671333], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:45:57 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 18:46:01 Epoch 59, Val iteration 19, acc 94.000 (93.280) |
* Prec: 93.28000183105469 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:46:03, Epoch 0, Iteration 7, loss 0.130 (0.353), acc 96.154 (91.800) |
2020-01-31 18:46:03, Epoch 30, Iteration 7, loss 0.033 (0.036), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-18.826778, -11.572435, -12.74552, -1.3080351, -10.336746, -5.762923, 6.897424, -13.959711, 7.8348722, -20.307632], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:46:06 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 18:46:10 Epoch 59, Val iteration 19, acc 90.800 (92.040) |
* Prec: 92.04000129699708 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:46:12, Epoch 0, Iteration 7, loss 1.413 (2.955), acc 80.769 (68.800) |
2020-01-31 18:46:13, Epoch 30, Iteration 7, loss 0.270 (0.410), acc 92.308 (91.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-1.4556043, -25.478298, -11.252419, 7.1874175, -34.26728, -2.5955136, 9.78595, -22.991585, 16.56257, -4.657599], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 18:46:13 Epoch 59, Val iteration 0, acc 88.400 (88.400) |
2020-01-31 18:46:16 Epoch 59, Val iteration 19, acc 88.000 (87.380) |
* Prec: 87.38000183105468 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:46:17, Epoch 0, Iteration 7, loss 0.359 (0.878), acc 96.154 (82.200) |
2020-01-31 18:46:18, Epoch 30, Iteration 7, loss 0.073 (0.038), acc 98.077 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-28.296247, -19.610535, -11.8252945, -3.4409947, -40.518993, -5.068772, 7.0957613, -15.221855, 9.142563, -43.860756], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:46:18 Epoch 59, Val iteration 0, acc 94.000 (94.000) |
2020-01-31 18:46:20 Epoch 59, Val iteration 19, acc 93.600 (92.890) |
* Prec: 92.89000091552734 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:46:23, Epoch 0, Iteration 7, loss 0.266 (0.392), acc 92.308 (91.800) |
2020-01-31 18:46:23, Epoch 30, Iteration 7, loss 0.005 (0.004), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-9.551932, -21.278137, -17.788168, -4.1965504, -13.770885, -3.860857, 4.677554, -37.347797, 6.148385, -14.491672], Poisons' Predictions:[8, 8, 8, 8, 8] |
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