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2020-02-04 22:29:26 Iteration 2300 Training Loss: 7.194e-02 Loss in Target Net: 8.291e-03 |
2020-02-04 22:30:57 Iteration 2350 Training Loss: 6.727e-02 Loss in Target Net: 6.789e-03 |
2020-02-04 22:32:28 Iteration 2400 Training Loss: 7.568e-02 Loss in Target Net: 1.050e-02 |
2020-02-04 22:34:02 Iteration 2450 Training Loss: 6.883e-02 Loss in Target Net: 5.948e-03 |
2020-02-04 22:35:37 Iteration 2500 Training Loss: 7.100e-02 Loss in Target Net: 7.608e-03 |
2020-02-04 22:37:11 Iteration 2550 Training Loss: 7.201e-02 Loss in Target Net: 8.849e-03 |
2020-02-04 22:38:45 Iteration 2600 Training Loss: 6.708e-02 Loss in Target Net: 9.391e-03 |
2020-02-04 22:40:20 Iteration 2650 Training Loss: 7.194e-02 Loss in Target Net: 8.993e-03 |
2020-02-04 22:41:49 Iteration 2700 Training Loss: 7.410e-02 Loss in Target Net: 9.827e-03 |
2020-02-04 22:43:20 Iteration 2750 Training Loss: 7.645e-02 Loss in Target Net: 7.453e-03 |
2020-02-04 22:44:50 Iteration 2800 Training Loss: 7.076e-02 Loss in Target Net: 7.462e-03 |
2020-02-04 22:46:13 Iteration 2850 Training Loss: 6.894e-02 Loss in Target Net: 7.120e-03 |
2020-02-04 22:47:36 Iteration 2900 Training Loss: 7.104e-02 Loss in Target Net: 5.578e-03 |
2020-02-04 22:49:07 Iteration 2950 Training Loss: 6.633e-02 Loss in Target Net: 2.731e-03 |
2020-02-04 22:50:39 Iteration 3000 Training Loss: 6.628e-02 Loss in Target Net: 8.721e-03 |
2020-02-04 22:52:10 Iteration 3050 Training Loss: 6.759e-02 Loss in Target Net: 7.244e-03 |
2020-02-04 22:53:40 Iteration 3100 Training Loss: 7.053e-02 Loss in Target Net: 4.172e-03 |
2020-02-04 22:55:16 Iteration 3150 Training Loss: 7.069e-02 Loss in Target Net: 6.685e-03 |
2020-02-04 22:56:56 Iteration 3200 Training Loss: 7.062e-02 Loss in Target Net: 6.616e-03 |
2020-02-04 22:58:33 Iteration 3250 Training Loss: 7.090e-02 Loss in Target Net: 6.873e-03 |
2020-02-04 23:00:07 Iteration 3300 Training Loss: 7.122e-02 Loss in Target Net: 8.639e-03 |
2020-02-04 23:01:41 Iteration 3350 Training Loss: 6.762e-02 Loss in Target Net: 7.959e-03 |
2020-02-04 23:03:15 Iteration 3400 Training Loss: 6.905e-02 Loss in Target Net: 5.862e-03 |
2020-02-04 23:04:46 Iteration 3450 Training Loss: 6.748e-02 Loss in Target Net: 6.199e-03 |
2020-02-04 23:06:16 Iteration 3500 Training Loss: 7.456e-02 Loss in Target Net: 9.987e-03 |
2020-02-04 23:07:45 Iteration 3550 Training Loss: 6.615e-02 Loss in Target Net: 6.763e-03 |
2020-02-04 23:09:15 Iteration 3600 Training Loss: 7.055e-02 Loss in Target Net: 9.681e-03 |
2020-02-04 23:10:45 Iteration 3650 Training Loss: 6.662e-02 Loss in Target Net: 6.336e-03 |
2020-02-04 23:12:11 Iteration 3700 Training Loss: 7.063e-02 Loss in Target Net: 7.695e-03 |
2020-02-04 23:13:36 Iteration 3750 Training Loss: 7.893e-02 Loss in Target Net: 8.245e-03 |
2020-02-04 23:14:56 Iteration 3800 Training Loss: 6.433e-02 Loss in Target Net: 8.375e-03 |
2020-02-04 23:16:19 Iteration 3850 Training Loss: 6.192e-02 Loss in Target Net: 5.314e-03 |
2020-02-04 23:17:41 Iteration 3900 Training Loss: 7.096e-02 Loss in Target Net: 5.212e-03 |
2020-02-04 23:18:58 Iteration 3950 Training Loss: 6.581e-02 Loss in Target Net: 8.643e-03 |
2020-02-04 23:20:14 Iteration 3999 Training Loss: 6.472e-02 Loss in Target Net: 1.062e-02 |
Evaluating against victims networks |
DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:20:33, Epoch 0, Iteration 7, loss 1.547 (3.501), acc 86.538 (71.800) |
2020-02-04 23:20:33, Epoch 30, Iteration 7, loss 0.341 (0.298), acc 98.077 (97.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[15.732621, -12.808717, -42.135887, -1.5470772, -40.72588, -1.543897, 32.149857, -52.9755, 30.005878, -70.32662], Poisons' Predictions:[8, 6, 8, 8, 8] |
2020-02-04 23:21:04 Epoch 59, Val iteration 0, acc 90.600 (90.600) |
2020-02-04 23:21:53 Epoch 59, Val iteration 19, acc 91.000 (91.920) |
* Prec: 91.92000160217285 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:21:58, Epoch 0, Iteration 7, loss 0.877 (0.778), acc 92.308 (87.600) |
2020-02-04 23:21:58, Epoch 30, Iteration 7, loss 0.197 (0.163), acc 94.231 (96.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[2.9364748, 4.517755, -14.690821, -0.3187734, 11.747229, -6.5367723, 34.600494, -11.526943, 18.765974, -8.541204], Poisons' Predictions:[6, 8, 8, 8, 8] |
2020-02-04 23:22:02 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-02-04 23:22:10 Epoch 59, Val iteration 19, acc 93.400 (90.890) |
* Prec: 90.8900016784668 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:17, Epoch 0, Iteration 7, loss 0.000 (0.981), acc 100.000 (87.200) |
2020-02-04 23:22:17, Epoch 30, Iteration 7, loss 0.006 (0.002), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-22.1382, -55.62965, -84.82393, -45.79815, -51.163746, -57.425602, 30.04683, -51.74936, 22.321827, -9.875515], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:22:24 Epoch 59, Val iteration 0, acc 92.600 (92.600) |
2020-02-04 23:22:45 Epoch 59, Val iteration 19, acc 92.400 (92.050) |
* Prec: 92.05000114440918 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:22:51, Epoch 0, Iteration 7, loss 0.823 (2.031), acc 90.385 (75.400) |
2020-02-04 23:22:52, Epoch 30, Iteration 7, loss 0.215 (0.060), acc 96.154 (98.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-37.68666, -5.244139, -23.03525, 4.973801, -78.48523, -30.72493, 26.778173, -53.884354, 14.004223, -24.531065], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:22:59 Epoch 59, Val iteration 0, acc 91.400 (91.400) |
2020-02-04 23:23:20 Epoch 59, Val iteration 19, acc 93.200 (92.480) |
* Prec: 92.48000068664551 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:23:31, Epoch 0, Iteration 7, loss 0.164 (0.451), acc 94.231 (89.200) |
2020-02-04 23:23:31, Epoch 30, Iteration 7, loss 0.089 (0.038), acc 94.231 (98.600) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-20.161776, -6.459713, -19.956306, -0.77395153, -11.202379, -8.059646, 10.627877, -17.364697, 9.152005, -11.009383], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-02-04 23:23:47 Epoch 59, Val iteration 0, acc 91.600 (91.600) |
2020-02-04 23:24:20 Epoch 59, Val iteration 19, acc 92.000 (92.080) |
* Prec: 92.08000106811524 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:24:24, Epoch 0, Iteration 7, loss 2.450 (3.432), acc 76.923 (63.600) |
2020-02-04 23:24:25, Epoch 30, Iteration 7, loss 0.254 (0.184), acc 90.385 (94.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[4.572549, -12.066471, 3.4453604, 11.67861, -40.358078, 3.8310683, 25.108751, -10.848692, 22.345882, -25.568012], Poisons' Predictions:[8, 8, 6, 6, 6] |
2020-02-04 23:24:28 Epoch 59, Val iteration 0, acc 87.800 (87.800) |
2020-02-04 23:24:37 Epoch 59, Val iteration 19, acc 86.200 (85.890) |
* Prec: 85.8900016784668 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-02-04 23:24:39, Epoch 0, Iteration 7, loss 0.076 (0.572), acc 98.077 (88.000) |
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