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2020-01-31 20:27:22 Iteration 1900 Training Loss: 7.766e-02 Loss in Target Net: 7.461e-03 |
2020-01-31 20:27:44 Iteration 1950 Training Loss: 7.989e-02 Loss in Target Net: 1.078e-02 |
2020-01-31 20:28:06 Iteration 2000 Training Loss: 8.456e-02 Loss in Target Net: 9.569e-03 |
2020-01-31 20:28:28 Iteration 2050 Training Loss: 7.899e-02 Loss in Target Net: 9.737e-03 |
2020-01-31 20:28:50 Iteration 2100 Training Loss: 7.705e-02 Loss in Target Net: 7.981e-03 |
2020-01-31 20:29:12 Iteration 2150 Training Loss: 8.334e-02 Loss in Target Net: 1.027e-02 |
2020-01-31 20:29:34 Iteration 2200 Training Loss: 7.802e-02 Loss in Target Net: 1.139e-02 |
2020-01-31 20:29:56 Iteration 2250 Training Loss: 7.780e-02 Loss in Target Net: 1.180e-02 |
2020-01-31 20:30:18 Iteration 2300 Training Loss: 8.019e-02 Loss in Target Net: 1.222e-02 |
2020-01-31 20:30:40 Iteration 2350 Training Loss: 8.020e-02 Loss in Target Net: 1.367e-02 |
2020-01-31 20:31:01 Iteration 2400 Training Loss: 7.573e-02 Loss in Target Net: 9.254e-03 |
2020-01-31 20:31:23 Iteration 2450 Training Loss: 7.892e-02 Loss in Target Net: 9.636e-03 |
2020-01-31 20:31:45 Iteration 2500 Training Loss: 7.797e-02 Loss in Target Net: 1.019e-02 |
2020-01-31 20:32:06 Iteration 2550 Training Loss: 7.820e-02 Loss in Target Net: 1.065e-02 |
2020-01-31 20:32:28 Iteration 2600 Training Loss: 7.800e-02 Loss in Target Net: 8.732e-03 |
2020-01-31 20:32:50 Iteration 2650 Training Loss: 7.761e-02 Loss in Target Net: 1.217e-02 |
2020-01-31 20:33:11 Iteration 2700 Training Loss: 7.690e-02 Loss in Target Net: 1.036e-02 |
2020-01-31 20:33:33 Iteration 2750 Training Loss: 7.423e-02 Loss in Target Net: 1.232e-02 |
2020-01-31 20:33:54 Iteration 2800 Training Loss: 7.395e-02 Loss in Target Net: 1.110e-02 |
2020-01-31 20:34:16 Iteration 2850 Training Loss: 7.873e-02 Loss in Target Net: 1.152e-02 |
2020-01-31 20:34:38 Iteration 2900 Training Loss: 8.065e-02 Loss in Target Net: 1.089e-02 |
2020-01-31 20:34:59 Iteration 2950 Training Loss: 8.238e-02 Loss in Target Net: 9.484e-03 |
2020-01-31 20:35:21 Iteration 3000 Training Loss: 7.822e-02 Loss in Target Net: 1.055e-02 |
2020-01-31 20:35:43 Iteration 3050 Training Loss: 8.044e-02 Loss in Target Net: 1.189e-02 |
2020-01-31 20:36:05 Iteration 3100 Training Loss: 8.155e-02 Loss in Target Net: 8.739e-03 |
2020-01-31 20:36:26 Iteration 3150 Training Loss: 7.633e-02 Loss in Target Net: 9.959e-03 |
2020-01-31 20:36:48 Iteration 3200 Training Loss: 7.545e-02 Loss in Target Net: 1.210e-02 |
2020-01-31 20:37:09 Iteration 3250 Training Loss: 8.501e-02 Loss in Target Net: 9.905e-03 |
2020-01-31 20:37:31 Iteration 3300 Training Loss: 7.386e-02 Loss in Target Net: 1.048e-02 |
2020-01-31 20:37:53 Iteration 3350 Training Loss: 7.606e-02 Loss in Target Net: 1.082e-02 |
2020-01-31 20:38:15 Iteration 3400 Training Loss: 8.019e-02 Loss in Target Net: 9.555e-03 |
2020-01-31 20:38:37 Iteration 3450 Training Loss: 7.828e-02 Loss in Target Net: 9.063e-03 |
2020-01-31 20:38:59 Iteration 3500 Training Loss: 8.065e-02 Loss in Target Net: 1.009e-02 |
2020-01-31 20:39:21 Iteration 3550 Training Loss: 7.489e-02 Loss in Target Net: 8.378e-03 |
2020-01-31 20:39:43 Iteration 3600 Training Loss: 7.471e-02 Loss in Target Net: 6.766e-03 |
2020-01-31 20:40:04 Iteration 3650 Training Loss: 8.003e-02 Loss in Target Net: 8.039e-03 |
2020-01-31 20:40:26 Iteration 3700 Training Loss: 7.499e-02 Loss in Target Net: 1.352e-02 |
2020-01-31 20:40:48 Iteration 3750 Training Loss: 8.075e-02 Loss in Target Net: 9.257e-03 |
2020-01-31 20:41:09 Iteration 3800 Training Loss: 8.117e-02 Loss in Target Net: 8.981e-03 |
2020-01-31 20:41:31 Iteration 3850 Training Loss: 8.156e-02 Loss in Target Net: 1.159e-02 |
2020-01-31 20:41:53 Iteration 3900 Training Loss: 7.864e-02 Loss in Target Net: 1.141e-02 |
2020-01-31 20:42:14 Iteration 3950 Training Loss: 7.850e-02 Loss in Target Net: 8.880e-03 |
2020-01-31 20:42:36 Iteration 3999 Training Loss: 8.049e-02 Loss in Target Net: 9.836e-03 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:42:40, Epoch 0, Iteration 7, loss 0.997 (2.805), acc 88.462 (72.800) |
2020-01-31 20:42:40, Epoch 30, Iteration 7, loss 0.001 (0.144), acc 100.000 (96.200) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[5.9559593, 0.16235569, -71.533104, -4.3988886, -56.596485, -14.123575, 33.79317, -56.071297, 33.829975, -100.54043], Poisons' Predictions:[8, 8, 8, 6, 6] |
2020-01-31 20:42:44 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-01-31 20:42:51 Epoch 59, Val iteration 19, acc 92.800 (92.360) |
* Prec: 92.36000175476075 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:42:54, Epoch 0, Iteration 7, loss 1.819 (0.868), acc 88.462 (89.600) |
2020-01-31 20:42:54, Epoch 30, Iteration 7, loss 0.373 (0.356), acc 98.077 (96.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-10.903502, 0.80604744, -7.3278794, -1.9131942, 6.5143747, -5.5044746, 19.457684, -18.849157, 12.593912, -5.170179], Poisons' Predictions:[8, 6, 6, 6, 6] |
2020-01-31 20:42:55 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 20:42:57 Epoch 59, Val iteration 19, acc 93.400 (91.630) |
* Prec: 91.6300006866455 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:42:59, Epoch 0, Iteration 7, loss 0.001 (1.248), acc 100.000 (88.200) |
2020-01-31 20:42:59, 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:[-36.94289, -28.25385, -63.981285, -26.652843, -60.548805, -75.76357, 7.091357, -32.792477, 20.025177, -37.139565], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 20:43:01 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 20:43:05 Epoch 59, Val iteration 19, acc 93.000 (92.930) |
* Prec: 92.93000183105468 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:43:07, Epoch 0, Iteration 7, loss 0.864 (2.091), acc 92.308 (71.400) |
2020-01-31 20:43:07, Epoch 30, Iteration 7, loss 0.004 (0.054), acc 100.000 (97.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-31.93515, -1.271456, -9.452129, 16.77745, -59.673443, -22.281898, 40.50719, -33.425877, 43.182972, -31.896473], Poisons' Predictions:[8, 6, 8, 8, 6] |
2020-01-31 20:43:08 Epoch 59, Val iteration 0, acc 92.800 (92.800) |
2020-01-31 20:43:13 Epoch 59, Val iteration 19, acc 92.400 (92.710) |
* Prec: 92.71000175476074 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:43:15, Epoch 0, Iteration 7, loss 0.155 (0.491), acc 94.231 (90.200) |
2020-01-31 20:43:16, Epoch 30, Iteration 7, loss 0.233 (0.088), acc 92.308 (96.600) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-24.288528, -7.4969754, -12.17005, -1.5101912, -15.291259, -7.808412, 12.469563, -4.453817, 13.553916, -33.617424], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-01-31 20:43:18 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-01-31 20:43:23 Epoch 59, Val iteration 19, acc 91.600 (91.870) |
* Prec: 91.8700008392334 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 20:43:25, Epoch 0, Iteration 7, loss 4.869 (5.336), acc 76.923 (59.400) |
2020-01-31 20:43:25, Epoch 30, Iteration 7, loss 0.027 (0.259), acc 100.000 (94.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-6.6024723, -10.550662, -6.192584, 7.120982, -25.54384, -5.942885, 19.656448, -31.493484, 16.828161, -22.934366], Poisons' Predictions:[8, 8, 6, 8, 8] |
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