text stringlengths 5 1.13k |
|---|
2020-01-31 18:59:34 Iteration 2500 Training Loss: 1.017e-01 Loss in Target Net: 4.731e-02 |
2020-01-31 18:59:56 Iteration 2550 Training Loss: 1.014e-01 Loss in Target Net: 5.553e-02 |
2020-01-31 19:00:18 Iteration 2600 Training Loss: 1.019e-01 Loss in Target Net: 7.140e-02 |
2020-01-31 19:00:41 Iteration 2650 Training Loss: 8.678e-02 Loss in Target Net: 7.555e-02 |
2020-01-31 19:01:02 Iteration 2700 Training Loss: 1.000e-01 Loss in Target Net: 6.445e-02 |
2020-01-31 19:01:25 Iteration 2750 Training Loss: 8.736e-02 Loss in Target Net: 7.292e-02 |
2020-01-31 19:01:50 Iteration 2800 Training Loss: 9.411e-02 Loss in Target Net: 7.554e-02 |
2020-01-31 19:02:12 Iteration 2850 Training Loss: 9.313e-02 Loss in Target Net: 6.759e-02 |
2020-01-31 19:02:34 Iteration 2900 Training Loss: 9.326e-02 Loss in Target Net: 5.097e-02 |
2020-01-31 19:02:56 Iteration 2950 Training Loss: 9.061e-02 Loss in Target Net: 7.426e-02 |
2020-01-31 19:03:19 Iteration 3000 Training Loss: 9.385e-02 Loss in Target Net: 6.031e-02 |
2020-01-31 19:03:41 Iteration 3050 Training Loss: 9.207e-02 Loss in Target Net: 5.849e-02 |
2020-01-31 19:04:03 Iteration 3100 Training Loss: 9.476e-02 Loss in Target Net: 6.755e-02 |
2020-01-31 19:04:25 Iteration 3150 Training Loss: 8.515e-02 Loss in Target Net: 3.164e-02 |
2020-01-31 19:04:47 Iteration 3200 Training Loss: 1.028e-01 Loss in Target Net: 6.391e-02 |
2020-01-31 19:05:09 Iteration 3250 Training Loss: 8.754e-02 Loss in Target Net: 4.174e-02 |
2020-01-31 19:05:31 Iteration 3300 Training Loss: 9.299e-02 Loss in Target Net: 7.718e-02 |
2020-01-31 19:05:54 Iteration 3350 Training Loss: 8.551e-02 Loss in Target Net: 4.901e-02 |
2020-01-31 19:06:16 Iteration 3400 Training Loss: 8.561e-02 Loss in Target Net: 7.202e-02 |
2020-01-31 19:06:39 Iteration 3450 Training Loss: 9.165e-02 Loss in Target Net: 5.959e-02 |
2020-01-31 19:07:02 Iteration 3500 Training Loss: 8.622e-02 Loss in Target Net: 9.053e-02 |
2020-01-31 19:07:25 Iteration 3550 Training Loss: 9.138e-02 Loss in Target Net: 8.809e-02 |
2020-01-31 19:07:47 Iteration 3600 Training Loss: 8.727e-02 Loss in Target Net: 6.614e-02 |
2020-01-31 19:08:10 Iteration 3650 Training Loss: 9.587e-02 Loss in Target Net: 6.349e-02 |
2020-01-31 19:08:32 Iteration 3700 Training Loss: 9.533e-02 Loss in Target Net: 7.354e-02 |
2020-01-31 19:08:54 Iteration 3750 Training Loss: 9.161e-02 Loss in Target Net: 8.831e-02 |
2020-01-31 19:09:17 Iteration 3800 Training Loss: 9.098e-02 Loss in Target Net: 8.606e-02 |
2020-01-31 19:09:39 Iteration 3850 Training Loss: 9.047e-02 Loss in Target Net: 9.648e-02 |
2020-01-31 19:10:00 Iteration 3900 Training Loss: 9.902e-02 Loss in Target Net: 7.540e-02 |
2020-01-31 19:10:23 Iteration 3950 Training Loss: 9.390e-02 Loss in Target Net: 1.021e-01 |
2020-01-31 19:10:46 Iteration 3999 Training Loss: 8.468e-02 Loss in Target Net: 8.542e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:10:50, Epoch 0, Iteration 7, loss 2.235 (3.517), acc 82.692 (72.600) |
2020-01-31 19:10:50, Epoch 30, Iteration 7, loss 0.028 (0.317), acc 98.077 (96.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-37.817112, -39.55317, -14.796871, 11.697673, -18.115757, 19.040838, 17.532984, -59.823746, 22.334694, -67.38052], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:10:54 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 19:11:02 Epoch 59, Val iteration 19, acc 92.400 (92.790) |
* Prec: 92.79000129699708 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:04, Epoch 0, Iteration 7, loss 0.727 (0.943), acc 88.462 (87.200) |
2020-01-31 19:11:04, Epoch 30, Iteration 7, loss 0.110 (0.184), acc 96.154 (96.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-0.35121882, -31.492104, -12.346714, 0.9083842, 0.19849652, 2.5188572, 14.827936, -28.404623, 15.958598, -7.5717216], Poisons' Predictions:[8, 6, 5, 8, 6] |
2020-01-31 19:11:05 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-01-31 19:11:07 Epoch 59, Val iteration 19, acc 92.600 (90.960) |
* Prec: 90.96000137329102 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:09, Epoch 0, Iteration 7, loss 0.171 (1.239), acc 96.154 (88.800) |
2020-01-31 19:11:10, 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:[-39.354782, -37.29362, -44.836338, -42.531647, -46.612316, -112.72981, 33.95175, -25.533077, 35.507027, -38.084396], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:11 Epoch 59, Val iteration 0, acc 94.600 (94.600) |
2020-01-31 19:11:15 Epoch 59, Val iteration 19, acc 95.000 (94.330) |
* Prec: 94.33000144958496 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:17, Epoch 0, Iteration 7, loss 1.381 (2.418), acc 84.615 (73.600) |
2020-01-31 19:11:18, Epoch 30, Iteration 7, loss 0.001 (0.083), acc 100.000 (97.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-42.245453, -41.676285, 0.5454564, -2.4418125, -62.781506, -4.046094, 31.258057, -40.166096, 36.542355, -23.794565], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:19 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 19:11:23 Epoch 59, Val iteration 19, acc 93.600 (92.740) |
* Prec: 92.7400016784668 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:26, Epoch 0, Iteration 7, loss 0.500 (0.448), acc 94.231 (90.600) |
2020-01-31 19:11:26, Epoch 30, Iteration 7, loss 0.025 (0.052), acc 100.000 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-21.89555, -13.306682, -2.8633184, 3.0924647, -15.410912, 2.6954272, 4.5019717, -25.985039, 8.1591015, -13.080395], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:29 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-01-31 19:11:33 Epoch 59, Val iteration 19, acc 92.400 (92.200) |
* Prec: 92.2000015258789 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:36, Epoch 0, Iteration 7, loss 0.510 (2.615), acc 90.385 (68.800) |
2020-01-31 19:11:36, Epoch 30, Iteration 7, loss 0.086 (0.263), acc 98.077 (94.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-5.274232, -6.0452156, -4.7027097, 2.7080863, -38.355335, -3.700798, 7.3027163, -38.26019, 4.961415, 6.644033], Poisons' Predictions:[8, 8, 5, 8, 8] |
2020-01-31 19:11:37 Epoch 59, Val iteration 0, acc 88.800 (88.800) |
2020-01-31 19:11:39 Epoch 59, Val iteration 19, acc 88.600 (87.210) |
* Prec: 87.21000175476074 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 19:11:41, Epoch 0, Iteration 7, loss 0.345 (0.568), acc 92.308 (89.600) |
2020-01-31 19:11:42, Epoch 30, Iteration 7, loss 0.003 (0.052), acc 100.000 (99.000) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-46.825, -34.39548, -11.932314, -1.140404, -51.20826, -9.542022, 5.7749896, -47.292927, 9.273396, -35.110325], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 19:11:42 Epoch 59, Val iteration 0, acc 93.400 (93.400) |
2020-01-31 19:11:44 Epoch 59, Val iteration 19, acc 93.200 (92.520) |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.