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2020-01-31 20:38:11 Iteration 3100 Training Loss: 9.042e-02 Loss in Target Net: 1.370e-02
2020-01-31 20:38:33 Iteration 3150 Training Loss: 8.461e-02 Loss in Target Net: 9.834e-03
2020-01-31 20:38:56 Iteration 3200 Training Loss: 8.782e-02 Loss in Target Net: 1.291e-02
2020-01-31 20:39:18 Iteration 3250 Training Loss: 9.868e-02 Loss in Target Net: 1.266e-02
2020-01-31 20:39:41 Iteration 3300 Training Loss: 9.232e-02 Loss in Target Net: 7.761e-03
2020-01-31 20:40:03 Iteration 3350 Training Loss: 9.017e-02 Loss in Target Net: 1.223e-02
2020-01-31 20:40:25 Iteration 3400 Training Loss: 9.023e-02 Loss in Target Net: 1.117e-02
2020-01-31 20:40:47 Iteration 3450 Training Loss: 8.039e-02 Loss in Target Net: 9.565e-03
2020-01-31 20:41:10 Iteration 3500 Training Loss: 8.510e-02 Loss in Target Net: 1.028e-02
2020-01-31 20:41:32 Iteration 3550 Training Loss: 8.977e-02 Loss in Target Net: 9.008e-03
2020-01-31 20:41:55 Iteration 3600 Training Loss: 8.937e-02 Loss in Target Net: 1.127e-02
2020-01-31 20:42:16 Iteration 3650 Training Loss: 9.069e-02 Loss in Target Net: 1.204e-02
2020-01-31 20:42:38 Iteration 3700 Training Loss: 9.224e-02 Loss in Target Net: 1.401e-02
2020-01-31 20:43:01 Iteration 3750 Training Loss: 9.562e-02 Loss in Target Net: 1.117e-02
2020-01-31 20:43:23 Iteration 3800 Training Loss: 8.205e-02 Loss in Target Net: 9.316e-03
2020-01-31 20:43:45 Iteration 3850 Training Loss: 8.679e-02 Loss in Target Net: 1.257e-02
2020-01-31 20:44:08 Iteration 3900 Training Loss: 8.503e-02 Loss in Target Net: 1.493e-02
2020-01-31 20:44:29 Iteration 3950 Training Loss: 8.633e-02 Loss in Target Net: 1.141e-02
2020-01-31 20:44:50 Iteration 3999 Training Loss: 8.476e-02 Loss in Target Net: 9.884e-03
Evaluating against victims networks
DPN92
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:44:55, Epoch 0, Iteration 7, loss 3.969 (5.716), acc 84.615 (65.600)
2020-01-31 20:44:55, Epoch 30, Iteration 7, loss 0.518 (0.236), acc 96.154 (97.400)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[5.1014028, -52.89014, -41.437817, -7.9734473, -52.11385, -6.903873, 38.109943, -63.16193, 29.992882, -105.63639], Poisons' Predictions:[8, 8, 6, 8, 8]
2020-01-31 20:44:59 Epoch 59, Val iteration 0, acc 91.400 (91.400)
2020-01-31 20:45:06 Epoch 59, Val iteration 19, acc 91.600 (91.660)
* Prec: 91.66000099182129
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SENet18
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:08, Epoch 0, Iteration 7, loss 1.020 (0.678), acc 88.462 (87.800)
2020-01-31 20:45:09, Epoch 30, Iteration 7, loss 0.322 (0.186), acc 96.154 (96.800)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-5.97574, -8.358944, -16.9093, -5.3686705, 12.0891285, -7.5515757, 27.415516, -26.887794, 19.901878, -12.016983], Poisons' Predictions:[8, 8, 6, 6, 8]
2020-01-31 20:45:09 Epoch 59, Val iteration 0, acc 91.600 (91.600)
2020-01-31 20:45:11 Epoch 59, Val iteration 19, acc 92.200 (91.550)
* Prec: 91.55000114440918
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ResNet50
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:14, Epoch 0, Iteration 7, loss 1.233 (1.714), acc 98.077 (83.800)
2020-01-31 20:45:14, Epoch 30, Iteration 7, loss 0.000 (0.014), acc 100.000 (99.600)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-39.676044, -88.649216, -62.156887, -62.77844, -73.44134, -55.760742, 19.58832, -41.54566, 19.024168, -57.951977], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 20:45:15 Epoch 59, Val iteration 0, acc 93.200 (93.200)
2020-01-31 20:45:19 Epoch 59, Val iteration 19, acc 93.000 (93.750)
* Prec: 93.75000190734863
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ResNeXt29_2x64d
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:22, Epoch 0, Iteration 7, loss 2.816 (2.602), acc 76.923 (74.400)
2020-01-31 20:45:22, Epoch 30, Iteration 7, loss 0.072 (0.062), acc 96.154 (97.600)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-33.03329, -24.085043, -13.896165, -3.4751034, -44.61758, -29.52444, 12.26763, -37.211643, 10.913228, -25.673439], Poisons' Predictions:[8, 8, 6, 8, 8]
2020-01-31 20:45:23 Epoch 59, Val iteration 0, acc 92.000 (92.000)
2020-01-31 20:45:27 Epoch 59, Val iteration 19, acc 92.000 (92.480)
* Prec: 92.48000221252441
--------
GoogLeNet
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:30, Epoch 0, Iteration 7, loss 0.324 (0.445), acc 94.231 (89.400)
2020-01-31 20:45:31, Epoch 30, Iteration 7, loss 0.008 (0.052), acc 100.000 (97.800)
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-7.7540207, -7.253048, -12.251444, -3.233723, -6.9345474, -3.4375126, 1.5712912, -6.272319, 4.8620076, -14.94862], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 20:45:34 Epoch 59, Val iteration 0, acc 91.600 (91.600)
2020-01-31 20:45:38 Epoch 59, Val iteration 19, acc 92.200 (92.080)
* Prec: 92.08000144958496
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MobileNetV2
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:41, Epoch 0, Iteration 7, loss 0.845 (3.062), acc 84.615 (67.400)
2020-01-31 20:45:41, Epoch 30, Iteration 7, loss 0.226 (0.243), acc 96.154 (95.000)
Target Label: 6, Poison label: 8, Prediction:1, Target's Score:[-6.3283744, 7.535489, -19.012566, -13.809168, -32.313454, -0.843086, -3.6730838, -32.81936, -3.225279, -27.666782], Poisons' Predictions:[8, 8, 6, 6, 8]
2020-01-31 20:45:42 Epoch 59, Val iteration 0, acc 87.400 (87.400)
2020-01-31 20:45:44 Epoch 59, Val iteration 19, acc 87.800 (86.640)
* Prec: 86.6400016784668
--------
ResNet18
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:46, Epoch 0, Iteration 7, loss 0.397 (0.832), acc 96.154 (84.000)
2020-01-31 20:45:46, Epoch 30, Iteration 7, loss 0.002 (0.040), acc 100.000 (98.600)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-42.126347, -7.7598987, -27.547226, -3.1187506, -37.631657, -10.758675, 6.6626425, -25.074, 4.4962897, -33.08387], Poisons' Predictions:[8, 8, 8, 6, 8]
2020-01-31 20:45:46 Epoch 59, Val iteration 0, acc 93.400 (93.400)
2020-01-31 20:45:48 Epoch 59, Val iteration 19, acc 94.000 (92.880)
* Prec: 92.88000183105468
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DenseNet121
Using Adam for retraining
Files already downloaded and verified
2020-01-31 20:45:51, Epoch 0, Iteration 7, loss 0.670 (0.497), acc 90.385 (93.200)
2020-01-31 20:45:51, Epoch 30, Iteration 7, loss 0.001 (0.003), acc 100.000 (100.000)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-7.923486, -23.154127, -8.181758, -0.34158176, -18.71463, -5.617821, 10.340996, -29.312386, 9.532378, -15.476674], Poisons' Predictions:[8, 8, 8, 8, 8]
2020-01-31 20:45:53 Epoch 59, Val iteration 0, acc 93.200 (93.200)
2020-01-31 20:45:58 Epoch 59, Val iteration 19, acc 93.000 (92.900)
* Prec: 92.9000015258789
--------