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DPN92 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:15:47, Epoch 0, Iteration 7, loss 0.147 (3.735), acc 98.077 (71.400) |
2020-01-31 21:15:47, Epoch 30, Iteration 7, loss 0.525 (0.239), acc 96.154 (96.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-0.6440456, -0.3173867, -44.244312, 0.987664, -23.013239, -12.753219, 32.6293, -44.97367, 31.245329, -104.58229], Poisons' Predictions:[8, 8, 6, 8, 8] |
2020-01-31 21:15:51 Epoch 59, Val iteration 0, acc 91.800 (91.800) |
2020-01-31 21:15:59 Epoch 59, Val iteration 19, acc 92.000 (92.610) |
* Prec: 92.61000137329101 |
-------- |
SENet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:01, Epoch 0, Iteration 7, loss 0.160 (0.767), acc 94.231 (88.200) |
2020-01-31 21:16:01, Epoch 30, Iteration 7, loss 0.338 (0.181), acc 94.231 (96.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-16.877373, -18.002657, -4.633877, 1.5842446, 2.480773, -7.3739758, 20.15047, -16.781452, 21.870018, -16.37166], Poisons' Predictions:[6, 8, 6, 8, 6] |
2020-01-31 21:16:02 Epoch 59, Val iteration 0, acc 90.800 (90.800) |
2020-01-31 21:16:04 Epoch 59, Val iteration 19, acc 92.800 (90.870) |
* Prec: 90.8700023651123 |
-------- |
ResNet50 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:06, Epoch 0, Iteration 7, loss 0.014 (0.668), acc 98.077 (91.400) |
2020-01-31 21:16:06, Epoch 30, Iteration 7, loss 0.000 (0.051), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-74.40087, -1.7949458, -39.86706, -48.17096, -15.171396, -43.115887, 19.164751, -72.80228, 23.926321, -58.368534], Poisons' Predictions:[8, 6, 6, 8, 8] |
2020-01-31 21:16:07 Epoch 59, Val iteration 0, acc 92.000 (92.000) |
2020-01-31 21:16:12 Epoch 59, Val iteration 19, acc 93.200 (93.560) |
* Prec: 93.56000137329102 |
-------- |
ResNeXt29_2x64d |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:14, Epoch 0, Iteration 7, loss 0.366 (2.383), acc 90.385 (73.800) |
2020-01-31 21:16:14, Epoch 30, Iteration 7, loss 0.240 (0.080), acc 96.154 (98.400) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-32.794273, 5.8771224, -9.255818, 11.05695, -73.74417, -21.264036, 31.110668, -30.983477, 32.255665, -14.287482], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:16:16 Epoch 59, Val iteration 0, acc 93.200 (93.200) |
2020-01-31 21:16:20 Epoch 59, Val iteration 19, acc 94.200 (93.180) |
* Prec: 93.18000106811523 |
-------- |
GoogLeNet |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:23, Epoch 0, Iteration 7, loss 0.310 (0.528), acc 90.385 (86.800) |
2020-01-31 21:16:23, Epoch 30, Iteration 7, loss 0.026 (0.049), acc 98.077 (97.200) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-18.946554, -8.41101, -9.009771, -0.3876908, -17.593555, -1.2221866, 10.142236, -4.7105484, 8.041308, -17.302639], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-01-31 21:16:25 Epoch 59, Val iteration 0, acc 91.000 (91.000) |
2020-01-31 21:16:30 Epoch 59, Val iteration 19, acc 91.600 (92.170) |
* Prec: 92.1700008392334 |
-------- |
MobileNetV2 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:32, Epoch 0, Iteration 7, loss 1.097 (3.766), acc 84.615 (60.000) |
2020-01-31 21:16:33, Epoch 30, Iteration 7, loss 0.343 (0.223), acc 92.308 (94.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-6.729734, -0.09415191, -13.589956, 8.6419, -34.384716, -5.6783853, 20.127048, -39.902374, 18.780867, -17.065775], Poisons' Predictions:[8, 6, 6, 8, 8] |
2020-01-31 21:16:33 Epoch 59, Val iteration 0, acc 87.400 (87.400) |
2020-01-31 21:16:35 Epoch 59, Val iteration 19, acc 88.800 (86.680) |
* Prec: 86.68000183105468 |
-------- |
ResNet18 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:37, Epoch 0, Iteration 7, loss 0.401 (0.604), acc 96.154 (89.400) |
2020-01-31 21:16:38, Epoch 30, Iteration 7, loss 0.014 (0.029), acc 100.000 (98.800) |
Target Label: 6, Poison label: 8, Prediction:8, Target's Score:[-33.916134, -14.636232, -12.430092, 0.117593594, -45.31225, -9.291981, 6.6866803, -22.477612, 7.592416, -46.45007], Poisons' Predictions:[8, 8, 8, 8, 6] |
2020-01-31 21:16:38 Epoch 59, Val iteration 0, acc 93.600 (93.600) |
2020-01-31 21:16:40 Epoch 59, Val iteration 19, acc 94.000 (92.780) |
* Prec: 92.78000106811524 |
-------- |
DenseNet121 |
Using Adam for retraining |
Files already downloaded and verified |
2020-01-31 21:16:43, Epoch 0, Iteration 7, loss 0.156 (0.391), acc 96.154 (92.000) |
2020-01-31 21:16:43, Epoch 30, Iteration 7, loss 0.002 (0.003), acc 100.000 (100.000) |
Target Label: 6, Poison label: 8, Prediction:6, Target's Score:[-8.7232485, -23.228565, -18.529213, -7.6491175, -11.644532, -5.8364973, 7.330922, -40.74789, 3.8891418, -20.027746], Poisons' Predictions:[8, 8, 8, 8, 8] |
2020-01-31 21:16:45 Epoch 59, Val iteration 0, acc 93.800 (93.800) |
2020-01-31 21:16:49 Epoch 59, Val iteration 19, acc 92.800 (92.970) |
* Prec: 92.97000160217286 |
-------- |
------SUMMARY------ |
TIME ELAPSED (mins): 29 |
TARGET INDEX: 30 |
DPN92 0 |
SENet18 1 |
ResNet50 1 |
ResNeXt29_2x64d 1 |
GoogLeNet 0 |
MobileNetV2 0 |
ResNet18 1 |
DenseNet121 0 |
Namespace(chk_path='chk-black-ourmean/', chk_subdir='poisons', device='cuda', dset_path='datasets', end2end=False, eval_poison_path='', gpu='3', lr_decay_epoch=[30, 45], mode='mean', model_resume_path='model-chks', nearest=False, net_repeat=1, num_per_class=50, original_grad=True, poison_decay_ites=[], poison_decay_ratio=0.1, poison_epsilon=0.1, poison_ites=4000, poison_label=8, poison_lr=0.04, poison_momentum=0.9, poison_num=5, poison_opt='adam', resume_poison_ite=0, retrain_bsize=64, retrain_epochs=60, retrain_lr=0.1, retrain_momentum=0.9, retrain_opt='adam', retrain_wd=0, subs_chk_name=['ckpt-%s-4800-dp0.200-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.250-droplayer0.000-seed1226.t7', 'ckpt-%s-4800-dp0.300-droplayer0.000.t7'], subs_dp=[0.2, 0.25, 0.3], subset_group=0, substitute_nets=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2'], target_index=31, target_label=6, target_net=['DPN92', 'SENet18', 'ResNet50', 'ResNeXt29_2x64d', 'GoogLeNet', 'MobileNetV2', 'ResNet18', 'DenseNet121'], test_chk_name='ckpt-%s-4800.t7', tol=1e-06, train_data_path='datasets/CIFAR10_TRAIN_Split.pth') |
Path: chk-black-ourmean/mean/4000/31 |
Selected base image indices: [213, 225, 227, 247, 249] |
2020-01-31 20:41:15 Iteration 0 Training Loss: 1.160e+00 Loss in Target Net: 3.798e-01 |
2020-01-31 20:41:36 Iteration 50 Training Loss: 1.179e-01 Loss in Target Net: 7.818e-03 |
2020-01-31 20:41:55 Iteration 100 Training Loss: 9.785e-02 Loss in Target Net: 6.372e-03 |
2020-01-31 20:42:16 Iteration 150 Training Loss: 7.915e-02 Loss in Target Net: 8.116e-03 |
2020-01-31 20:42:37 Iteration 200 Training Loss: 8.206e-02 Loss in Target Net: 4.426e-03 |
2020-01-31 20:42:58 Iteration 250 Training Loss: 7.659e-02 Loss in Target Net: 7.448e-03 |
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