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Path: chk-black-ourmean/mean/4000/16
Selected base image indices: [213, 225, 227, 247, 249]
2020-01-31 19:17:00 Iteration 0 Training Loss: 1.145e+00 Loss in Target Net: 4.101e-01
2020-01-31 19:17:22 Iteration 50 Training Loss: 9.473e-02 Loss in Target Net: 2.461e-02
2020-01-31 19:17:43 Iteration 100 Training Loss: 8.236e-02 Loss in Target Net: 1.950e-02
2020-01-31 19:18:04 Iteration 150 Training Loss: 8.112e-02 Loss in Target Net: 2.092e-02
2020-01-31 19:18:25 Iteration 200 Training Loss: 7.921e-02 Loss in Target Net: 2.005e-02
2020-01-31 19:18:46 Iteration 250 Training Loss: 7.777e-02 Loss in Target Net: 1.347e-02
2020-01-31 19:19:07 Iteration 300 Training Loss: 8.077e-02 Loss in Target Net: 1.176e-02
2020-01-31 19:19:28 Iteration 350 Training Loss: 7.912e-02 Loss in Target Net: 1.123e-02
2020-01-31 19:19:49 Iteration 400 Training Loss: 7.136e-02 Loss in Target Net: 1.090e-02
2020-01-31 19:20:10 Iteration 450 Training Loss: 7.618e-02 Loss in Target Net: 1.206e-02
2020-01-31 19:20:31 Iteration 500 Training Loss: 7.218e-02 Loss in Target Net: 8.501e-03
2020-01-31 19:20:51 Iteration 550 Training Loss: 7.667e-02 Loss in Target Net: 8.647e-03
2020-01-31 19:21:12 Iteration 600 Training Loss: 7.467e-02 Loss in Target Net: 9.162e-03
2020-01-31 19:21:33 Iteration 650 Training Loss: 6.672e-02 Loss in Target Net: 1.131e-02
2020-01-31 19:21:53 Iteration 700 Training Loss: 7.490e-02 Loss in Target Net: 1.010e-02
2020-01-31 19:22:14 Iteration 750 Training Loss: 7.293e-02 Loss in Target Net: 1.141e-02
2020-01-31 19:22:35 Iteration 800 Training Loss: 7.376e-02 Loss in Target Net: 8.902e-03
2020-01-31 19:22:56 Iteration 850 Training Loss: 7.727e-02 Loss in Target Net: 1.199e-02
2020-01-31 19:23:17 Iteration 900 Training Loss: 7.587e-02 Loss in Target Net: 1.669e-02
2020-01-31 19:23:39 Iteration 950 Training Loss: 7.517e-02 Loss in Target Net: 1.528e-02
2020-01-31 19:24:00 Iteration 1000 Training Loss: 7.823e-02 Loss in Target Net: 1.667e-02
2020-01-31 19:24:20 Iteration 1050 Training Loss: 6.667e-02 Loss in Target Net: 1.436e-02
2020-01-31 19:24:41 Iteration 1100 Training Loss: 6.992e-02 Loss in Target Net: 9.830e-03
2020-01-31 19:25:02 Iteration 1150 Training Loss: 7.673e-02 Loss in Target Net: 1.146e-02
2020-01-31 19:25:23 Iteration 1200 Training Loss: 6.972e-02 Loss in Target Net: 1.060e-02
2020-01-31 19:25:44 Iteration 1250 Training Loss: 7.291e-02 Loss in Target Net: 1.011e-02
2020-01-31 19:26:04 Iteration 1300 Training Loss: 7.129e-02 Loss in Target Net: 9.746e-03
2020-01-31 19:26:25 Iteration 1350 Training Loss: 7.163e-02 Loss in Target Net: 1.214e-02
2020-01-31 19:26:46 Iteration 1400 Training Loss: 7.106e-02 Loss in Target Net: 1.250e-02
2020-01-31 19:27:07 Iteration 1450 Training Loss: 7.138e-02 Loss in Target Net: 9.563e-03
2020-01-31 19:27:28 Iteration 1500 Training Loss: 6.856e-02 Loss in Target Net: 1.289e-02
2020-01-31 19:27:49 Iteration 1550 Training Loss: 7.694e-02 Loss in Target Net: 2.009e-02
2020-01-31 19:28:10 Iteration 1600 Training Loss: 7.482e-02 Loss in Target Net: 1.890e-02
2020-01-31 19:28:31 Iteration 1650 Training Loss: 7.371e-02 Loss in Target Net: 1.228e-02
2020-01-31 19:28:52 Iteration 1700 Training Loss: 7.425e-02 Loss in Target Net: 8.833e-03
2020-01-31 19:29:13 Iteration 1750 Training Loss: 7.217e-02 Loss in Target Net: 1.786e-02
2020-01-31 19:29:34 Iteration 1800 Training Loss: 6.517e-02 Loss in Target Net: 1.430e-02
2020-01-31 19:29:55 Iteration 1850 Training Loss: 7.561e-02 Loss in Target Net: 1.836e-02
2020-01-31 19:30:15 Iteration 1900 Training Loss: 7.528e-02 Loss in Target Net: 1.328e-02
2020-01-31 19:30:36 Iteration 1950 Training Loss: 7.298e-02 Loss in Target Net: 1.766e-02
2020-01-31 19:30:57 Iteration 2000 Training Loss: 6.599e-02 Loss in Target Net: 1.729e-02
2020-01-31 19:31:18 Iteration 2050 Training Loss: 7.264e-02 Loss in Target Net: 1.925e-02
2020-01-31 19:31:39 Iteration 2100 Training Loss: 7.655e-02 Loss in Target Net: 1.378e-02
2020-01-31 19:32:01 Iteration 2150 Training Loss: 6.927e-02 Loss in Target Net: 9.025e-03
2020-01-31 19:32:22 Iteration 2200 Training Loss: 7.232e-02 Loss in Target Net: 1.036e-02
2020-01-31 19:32:43 Iteration 2250 Training Loss: 7.056e-02 Loss in Target Net: 1.353e-02
2020-01-31 19:33:04 Iteration 2300 Training Loss: 7.139e-02 Loss in Target Net: 1.934e-02
2020-01-31 19:33:25 Iteration 2350 Training Loss: 6.979e-02 Loss in Target Net: 2.155e-02
2020-01-31 19:33:46 Iteration 2400 Training Loss: 6.672e-02 Loss in Target Net: 2.060e-02
2020-01-31 19:34:08 Iteration 2450 Training Loss: 7.117e-02 Loss in Target Net: 1.785e-02
2020-01-31 19:34:30 Iteration 2500 Training Loss: 7.628e-02 Loss in Target Net: 1.629e-02
2020-01-31 19:34:52 Iteration 2550 Training Loss: 7.873e-02 Loss in Target Net: 1.369e-02
2020-01-31 19:35:14 Iteration 2600 Training Loss: 7.530e-02 Loss in Target Net: 2.094e-02
2020-01-31 19:35:36 Iteration 2650 Training Loss: 6.968e-02 Loss in Target Net: 1.781e-02
2020-01-31 19:35:57 Iteration 2700 Training Loss: 6.888e-02 Loss in Target Net: 1.354e-02
2020-01-31 19:36:18 Iteration 2750 Training Loss: 6.830e-02 Loss in Target Net: 1.574e-02
2020-01-31 19:36:39 Iteration 2800 Training Loss: 7.480e-02 Loss in Target Net: 1.847e-02
2020-01-31 19:37:00 Iteration 2850 Training Loss: 6.948e-02 Loss in Target Net: 1.438e-02
2020-01-31 19:37:21 Iteration 2900 Training Loss: 7.688e-02 Loss in Target Net: 1.537e-02
2020-01-31 19:37:42 Iteration 2950 Training Loss: 6.657e-02 Loss in Target Net: 1.493e-02
2020-01-31 19:38:04 Iteration 3000 Training Loss: 6.971e-02 Loss in Target Net: 1.709e-02
2020-01-31 19:38:25 Iteration 3050 Training Loss: 6.609e-02 Loss in Target Net: 1.594e-02
2020-01-31 19:38:45 Iteration 3100 Training Loss: 7.559e-02 Loss in Target Net: 1.586e-02
2020-01-31 19:39:07 Iteration 3150 Training Loss: 7.456e-02 Loss in Target Net: 1.707e-02
2020-01-31 19:39:28 Iteration 3200 Training Loss: 6.535e-02 Loss in Target Net: 1.448e-02
2020-01-31 19:39:49 Iteration 3250 Training Loss: 7.098e-02 Loss in Target Net: 1.648e-02
2020-01-31 19:40:10 Iteration 3300 Training Loss: 7.197e-02 Loss in Target Net: 2.129e-02
2020-01-31 19:40:31 Iteration 3350 Training Loss: 7.236e-02 Loss in Target Net: 2.631e-02
2020-01-31 19:40:53 Iteration 3400 Training Loss: 7.179e-02 Loss in Target Net: 2.044e-02
2020-01-31 19:41:14 Iteration 3450 Training Loss: 6.849e-02 Loss in Target Net: 2.043e-02
2020-01-31 19:41:36 Iteration 3500 Training Loss: 6.922e-02 Loss in Target Net: 2.048e-02
2020-01-31 19:41:58 Iteration 3550 Training Loss: 7.397e-02 Loss in Target Net: 2.089e-02
2020-01-31 19:42:18 Iteration 3600 Training Loss: 6.733e-02 Loss in Target Net: 2.299e-02
2020-01-31 19:42:39 Iteration 3650 Training Loss: 7.095e-02 Loss in Target Net: 1.784e-02
2020-01-31 19:43:01 Iteration 3700 Training Loss: 7.144e-02 Loss in Target Net: 2.164e-02
2020-01-31 19:43:22 Iteration 3750 Training Loss: 6.811e-02 Loss in Target Net: 2.408e-02
2020-01-31 19:43:44 Iteration 3800 Training Loss: 6.719e-02 Loss in Target Net: 2.144e-02
2020-01-31 19:44:06 Iteration 3850 Training Loss: 6.921e-02 Loss in Target Net: 1.665e-02
2020-01-31 19:44:29 Iteration 3900 Training Loss: 6.839e-02 Loss in Target Net: 1.698e-02
2020-01-31 19:44:53 Iteration 3950 Training Loss: 7.191e-02 Loss in Target Net: 1.716e-02
2020-01-31 19:45:13 Iteration 3999 Training Loss: 6.908e-02 Loss in Target Net: 1.671e-02
Evaluating against victims networks
DPN92
Using Adam for retraining
Files already downloaded and verified
2020-01-31 19:45:17, Epoch 0, Iteration 7, loss 0.995 (5.128), acc 92.308 (61.800)
2020-01-31 19:45:18, Epoch 30, Iteration 7, loss 0.620 (0.307), acc 94.231 (95.600)
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[15.357246, 11.086838, -39.259964, 8.562945, -15.331583, 2.27169, 39.165367, -46.329556, 40.412376, -95.04088], Poisons' Predictions:[8, 8, 8, 6, 6]
2020-01-31 19:45:21 Epoch 59, Val iteration 0, acc 91.000 (91.000)
2020-01-31 19:45:29 Epoch 59, Val iteration 19, acc 92.000 (91.720)
* Prec: 91.72000198364258
--------
SENet18
Using Adam for retraining
Files already downloaded and verified
2020-01-31 19:45:31, Epoch 0, Iteration 7, loss 1.079 (0.688), acc 88.462 (89.400)
2020-01-31 19:45:32, Epoch 30, Iteration 7, loss 0.254 (0.233), acc 96.154 (95.800)
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[5.7921205, -8.113861, -14.388324, -4.5763617, 6.2365437, -10.368095, 19.772085, -15.0747385, 13.150283, -21.854445], Poisons' Predictions:[8, 6, 6, 6, 8]