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2020-01-31 18:31:37 Iteration 2700 Training Loss: 6.262e-02 Loss in Target Net: 6.955e-03 |
2020-01-31 18:31:58 Iteration 2750 Training Loss: 6.207e-02 Loss in Target Net: 8.070e-03 |
2020-01-31 18:32:19 Iteration 2800 Training Loss: 6.344e-02 Loss in Target Net: 9.827e-03 |
2020-01-31 18:32:40 Iteration 2850 Training Loss: 6.835e-02 Loss in Target Net: 7.914e-03 |
2020-01-31 18:33:02 Iteration 2900 Training Loss: 6.819e-02 Loss in Target Net: 1.172e-02 |
2020-01-31 18:33:24 Iteration 2950 Training Loss: 6.634e-02 Loss in Target Net: 8.204e-03 |
2020-01-31 18:33:45 Iteration 3000 Training Loss: 6.320e-02 Loss in Target Net: 1.364e-02 |
2020-01-31 18:34:06 Iteration 3050 Training Loss: 5.960e-02 Loss in Target Net: 5.813e-03 |
2020-01-31 18:34:27 Iteration 3100 Training Loss: 6.792e-02 Loss in Target Net: 1.069e-02 |
2020-01-31 18:34:47 Iteration 3150 Training Loss: 7.028e-02 Loss in Target Net: 8.341e-03 |
2020-01-31 18:35:08 Iteration 3200 Training Loss: 6.423e-02 Loss in Target Net: 1.114e-02 |
2020-01-31 18:35:29 Iteration 3250 Training Loss: 6.240e-02 Loss in Target Net: 9.893e-03 |
2020-01-31 18:35:49 Iteration 3300 Training Loss: 7.066e-02 Loss in Target Net: 1.190e-02 |
2020-01-31 18:36:10 Iteration 3350 Training Loss: 7.276e-02 Loss in Target Net: 8.863e-03 |
2020-01-31 18:36:30 Iteration 3400 Training Loss: 6.586e-02 Loss in Target Net: 9.556e-03 |
2020-01-31 18:36:50 Iteration 3450 Training Loss: 6.920e-02 Loss in Target Net: 1.084e-02 |
2020-01-31 18:37:10 Iteration 3500 Training Loss: 6.822e-02 Loss in Target Net: 1.226e-02 |
2020-01-31 18:37:31 Iteration 3550 Training Loss: 7.026e-02 Loss in Target Net: 1.370e-02 |
2020-01-31 18:37:51 Iteration 3600 Training Loss: 6.626e-02 Loss in Target Net: 1.167e-02 |
2020-01-31 18:38:11 Iteration 3650 Training Loss: 6.191e-02 Loss in Target Net: 8.687e-03 |
2020-01-31 18:38:31 Iteration 3700 Training Loss: 7.470e-02 Loss in Target Net: 1.002e-02 |
2020-01-31 18:38:51 Iteration 3750 Training Loss: 6.415e-02 Loss in Target Net: 1.102e-02 |
2020-01-31 18:39:11 Iteration 3800 Training Loss: 6.150e-02 Loss in Target Net: 6.816e-03 |
2020-01-31 18:39:31 Iteration 3850 Training Loss: 6.209e-02 Loss in Target Net: 1.259e-02 |
2020-01-31 18:39:51 Iteration 3900 Training Loss: 6.062e-02 Loss in Target Net: 1.511e-02 |
2020-01-31 18:40:12 Iteration 3950 Training Loss: 5.797e-02 Loss in Target Net: 1.111e-02 |
2020-01-31 18:40:32 Iteration 3999 Training Loss: 6.411e-02 Loss in Target Net: 9.190e-03 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:40:36, Epoch 0, Iteration 7, loss 2.655 (4.160), acc 84.615 (65.800) |
2020-01-31 18:40:36, Epoch 30, Iteration 7, loss 0.447 (0.153), acc 94.231 (97.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[16.332582, -25.250992, -56.462914, -7.949601, -45.749146, -18.145773, 30.27821, -44.939426, 29.674175, -131.79987], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-01-31 18:40:40 Epoch 59, Val iteration 0, acc 91.400 (91.400) |
2020-01-31 18:40:47 Epoch 59, Val iteration 19, acc 92.600 (92.500) |
* Prec: 92.5000015258789 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:40:49, Epoch 0, Iteration 7, loss 0.726 (0.922), acc 90.385 (84.200) |
2020-01-31 18:40:50, Epoch 30, Iteration 7, loss 0.108 (0.161), acc 96.154 (96.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[3.2657964, -0.7475108, -12.451879, -1.0894656, 10.895496, -6.2118807, 24.929083, -24.089048, 18.58147, -17.641277], Poisons' Predictions:[6, 6, 8, 6, 8] |
2020-01-31 18:40:50 Epoch 59, Val iteration 0, acc 92.200 (92.200) |
2020-01-31 18:40:52 Epoch 59, Val iteration 19, acc 92.600 (91.700) |
* Prec: 91.7000015258789 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:40:55, Epoch 0, Iteration 7, loss 0.017 (1.424), acc 98.077 (87.000) |
2020-01-31 18:40:55, Epoch 30, Iteration 7, loss 0.003 (0.007), acc 100.000 (99.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-59.013187, -51.96918, -61.586845, -23.475773, -43.082867, -117.64075, 18.858114, -47.332424, 19.368732, -23.807074], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:40:56 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 18:41:00 Epoch 59, Val iteration 19, acc 94.200 (92.910) |
* Prec: 92.91000061035156 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:41:03, Epoch 0, Iteration 7, loss 0.496 (2.104), acc 90.385 (71.400) |
2020-01-31 18:41:03, Epoch 30, Iteration 7, loss 0.008 (0.015), acc 100.000 (99.400) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-43.556335, 20.258764, -6.9599233, 17.342138, -73.1043, -21.803303, 33.869102, -20.073687, 30.947643, -37.0864], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:41:04 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-01-31 18:41:08 Epoch 59, Val iteration 19, acc 92.200 (92.640) |
* Prec: 92.64000091552734 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:41:11, Epoch 0, Iteration 7, loss 0.671 (0.400), acc 82.692 (91.800) |
2020-01-31 18:41:11, Epoch 30, Iteration 7, loss 0.104 (0.066), acc 96.154 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-15.220099, -11.191375, -6.6793666, 0.15050592, -13.864568, -3.8295202, 12.616661, 2.957619, 14.235547, -25.849009], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:41:13 Epoch 59, Val iteration 0, acc 91.200 (91.200) |
2020-01-31 18:41:18 Epoch 59, Val iteration 19, acc 92.200 (92.160) |
* Prec: 92.16000175476074 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:41:20, Epoch 0, Iteration 7, loss 1.654 (3.198), acc 75.000 (63.400) |
2020-01-31 18:41:20, Epoch 30, Iteration 7, loss 0.382 (0.305), acc 94.231 (92.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[3.7438316, 2.179857, -0.010312796, 22.068472, -20.210987, 3.1670835, 34.734303, -20.531292, 25.488703, -20.872877], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 18:41:21 Epoch 59, Val iteration 0, acc 88.000 (88.000) |
2020-01-31 18:41:23 Epoch 59, Val iteration 19, acc 88.800 (86.990) |
* Prec: 86.9900016784668 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 18:41:25, Epoch 0, Iteration 7, loss 0.653 (0.811), acc 92.308 (84.400) |
2020-01-31 18:41:25, Epoch 30, Iteration 7, loss 0.207 (0.061), acc 98.077 (99.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-39.135136, -12.394085, -18.903263, 2.9247065, -41.88207, -5.799838, 10.605084, -20.21857, 9.184366, -58.959305], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-01-31 18:41:26 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 18:41:28 Epoch 59, Val iteration 19, acc 93.600 (92.800) |
* Prec: 92.80000152587891 |
-------- |
DenseNet121 |
Using Adam for retraining |
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