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2020-02-04 22:22:50 Iteration 2100 Training Loss: 8.755e-02 Loss in Target Net: 9.117e-03 |
2020-02-04 22:24:27 Iteration 2150 Training Loss: 8.911e-02 Loss in Target Net: 1.215e-02 |
2020-02-04 22:26:02 Iteration 2200 Training Loss: 9.349e-02 Loss in Target Net: 1.111e-02 |
2020-02-04 22:27:37 Iteration 2250 Training Loss: 9.369e-02 Loss in Target Net: 9.728e-03 |
2020-02-04 22:29:09 Iteration 2300 Training Loss: 8.507e-02 Loss in Target Net: 9.593e-03 |
2020-02-04 22:30:41 Iteration 2350 Training Loss: 8.501e-02 Loss in Target Net: 8.791e-03 |
2020-02-04 22:32:12 Iteration 2400 Training Loss: 9.484e-02 Loss in Target Net: 1.138e-02 |
2020-02-04 22:33:46 Iteration 2450 Training Loss: 8.445e-02 Loss in Target Net: 1.094e-02 |
2020-02-04 22:35:20 Iteration 2500 Training Loss: 8.997e-02 Loss in Target Net: 9.572e-03 |
2020-02-04 22:36:55 Iteration 2550 Training Loss: 9.103e-02 Loss in Target Net: 9.572e-03 |
2020-02-04 22:38:30 Iteration 2600 Training Loss: 8.234e-02 Loss in Target Net: 9.241e-03 |
2020-02-04 22:40:05 Iteration 2650 Training Loss: 8.669e-02 Loss in Target Net: 1.020e-02 |
2020-02-04 22:41:36 Iteration 2700 Training Loss: 9.000e-02 Loss in Target Net: 1.014e-02 |
2020-02-04 22:43:07 Iteration 2750 Training Loss: 9.956e-02 Loss in Target Net: 1.543e-02 |
2020-02-04 22:44:38 Iteration 2800 Training Loss: 8.172e-02 Loss in Target Net: 1.189e-02 |
2020-02-04 22:46:05 Iteration 2850 Training Loss: 8.893e-02 Loss in Target Net: 1.079e-02 |
2020-02-04 22:47:28 Iteration 2900 Training Loss: 9.155e-02 Loss in Target Net: 1.096e-02 |
2020-02-04 22:49:00 Iteration 2950 Training Loss: 9.041e-02 Loss in Target Net: 1.530e-02 |
2020-02-04 22:50:35 Iteration 3000 Training Loss: 8.997e-02 Loss in Target Net: 1.411e-02 |
2020-02-04 22:52:06 Iteration 3050 Training Loss: 8.527e-02 Loss in Target Net: 1.295e-02 |
2020-02-04 22:53:39 Iteration 3100 Training Loss: 8.920e-02 Loss in Target Net: 1.196e-02 |
2020-02-04 22:55:14 Iteration 3150 Training Loss: 8.789e-02 Loss in Target Net: 1.051e-02 |
2020-02-04 22:56:52 Iteration 3200 Training Loss: 9.104e-02 Loss in Target Net: 1.289e-02 |
2020-02-04 22:58:28 Iteration 3250 Training Loss: 9.249e-02 Loss in Target Net: 1.226e-02 |
2020-02-04 23:00:03 Iteration 3300 Training Loss: 8.566e-02 Loss in Target Net: 1.076e-02 |
2020-02-04 23:01:39 Iteration 3350 Training Loss: 8.763e-02 Loss in Target Net: 1.242e-02 |
2020-02-04 23:03:14 Iteration 3400 Training Loss: 8.590e-02 Loss in Target Net: 1.219e-02 |
2020-02-04 23:04:47 Iteration 3450 Training Loss: 8.690e-02 Loss in Target Net: 1.476e-02 |
2020-02-04 23:06:17 Iteration 3500 Training Loss: 8.226e-02 Loss in Target Net: 1.249e-02 |
2020-02-04 23:07:47 Iteration 3550 Training Loss: 9.049e-02 Loss in Target Net: 1.070e-02 |
2020-02-04 23:09:17 Iteration 3600 Training Loss: 8.511e-02 Loss in Target Net: 8.516e-03 |
2020-02-04 23:10:48 Iteration 3650 Training Loss: 8.623e-02 Loss in Target Net: 1.012e-02 |
2020-02-04 23:12:15 Iteration 3700 Training Loss: 8.978e-02 Loss in Target Net: 8.038e-03 |
2020-02-04 23:13:42 Iteration 3750 Training Loss: 9.358e-02 Loss in Target Net: 1.485e-02 |
2020-02-04 23:15:04 Iteration 3800 Training Loss: 9.006e-02 Loss in Target Net: 1.408e-02 |
2020-02-04 23:16:28 Iteration 3850 Training Loss: 9.159e-02 Loss in Target Net: 1.595e-02 |
2020-02-04 23:17:51 Iteration 3900 Training Loss: 8.349e-02 Loss in Target Net: 1.485e-02 |
2020-02-04 23:19:09 Iteration 3950 Training Loss: 8.254e-02 Loss in Target Net: 1.033e-02 |
2020-02-04 23:20:26 Iteration 3999 Training Loss: 8.388e-02 Loss in Target Net: 1.499e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:20:46, Epoch 0, Iteration 7, loss 2.066 (3.595), acc 84.615 (69.400) |
2020-02-04 23:20:46, Epoch 30, Iteration 7, loss 0.012 (0.116), acc 100.000 (98.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[9.953788, -90.45609, -39.23038, 8.657914, -26.107075, 2.764136, 31.697891, -48.261795, 26.314213, -81.42271], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-02-04 23:21:19 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-02-04 23:22:07 Epoch 59, Val iteration 19, acc 93.000 (92.460) |
* Prec: 92.46000213623047 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:12, Epoch 0, Iteration 7, loss 0.120 (0.803), acc 96.154 (87.400) |
2020-02-04 23:22:13, Epoch 30, Iteration 7, loss 0.149 (0.188), acc 94.231 (95.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[13.029448, -4.0974574, -3.4576402, -2.5197086, -4.891735, -7.756873, 23.115017, -20.25081, 19.28023, -14.895982], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-02-04 23:22:17 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-02-04 23:22:24 Epoch 59, Val iteration 19, acc 93.200 (91.400) |
* Prec: 91.4000015258789 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:31, Epoch 0, Iteration 7, loss 1.174 (1.577), acc 98.077 (84.600) |
2020-02-04 23:22:31, Epoch 30, Iteration 7, loss 0.091 (0.081), acc 98.077 (99.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-41.142742, -71.39707, -76.16877, -14.730087, -32.932053, -39.738983, 8.619187, -33.048706, 6.48149, -49.07888], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-02-04 23:22:39 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-02-04 23:23:00 Epoch 59, Val iteration 19, acc 94.600 (92.720) |
* Prec: 92.72000198364258 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:23:06, Epoch 0, Iteration 7, loss 0.574 (2.092), acc 90.385 (77.400) |
2020-02-04 23:23:06, Epoch 30, Iteration 7, loss 0.069 (0.063), acc 98.077 (97.800) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-42.12239, -14.354334, 1.3470799, 0.58462435, -67.16916, -32.444252, 17.450985, -14.30498, 11.413953, -26.566572], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:23:13 Epoch 59, Val iteration 0, acc 92.200 (92.200) |
2020-02-04 23:23:35 Epoch 59, Val iteration 19, acc 93.000 (92.840) |
* Prec: 92.84000205993652 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:23:43, Epoch 0, Iteration 7, loss 0.373 (0.460), acc 88.462 (90.000) |
2020-02-04 23:23:44, Epoch 30, Iteration 7, loss 0.086 (0.059), acc 96.154 (97.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-15.698736, -6.726549, -4.7166862, -1.6733611, -15.839727, -3.9905019, 5.32164, -11.250385, 6.576752, -24.77474], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:23:59 Epoch 59, Val iteration 0, acc 90.400 (90.400) |
2020-02-04 23:24:30 Epoch 59, Val iteration 19, acc 91.800 (91.550) |
* Prec: 91.55000114440918 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:24:35, Epoch 0, Iteration 7, loss 0.931 (3.306), acc 84.615 (63.200) |
2020-02-04 23:24:35, Epoch 30, Iteration 7, loss 0.439 (0.279), acc 92.308 (93.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-10.694194, -9.61607, -1.5451574, 1.550495, -20.62433, -0.9503189, 11.286572, -20.685335, 2.5435646, -25.229465], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:24:39 Epoch 59, Val iteration 0, acc 87.000 (87.000) |
2020-02-04 23:24:47 Epoch 59, Val iteration 19, acc 88.600 (86.880) |
* Prec: 86.88000144958497 |
-------- |
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