Adversarial Attack Detection on SVHN known attack 1.0 (test)
99.85AUROC (FGSM)Mahalanobis distance-based score
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Mahalanobis distance-based scoreBackbone=DenseNet2018.07 | 99.85 | 99.28 | 95.1 | 97.03 | |
| Mahalanobis distance-based scoreBackbone=ResNet2018.07 | 99.62 | 97.15 | 95.73 | 92.15 | |
| LIDBackbone=DenseNet2018.07 | 99.35 | 94.87 | 91.79 | 94.7 | |
| LIDBackbone=ResNet2018.07 | 97.86 | 90.74 | 92.4 | 88.24 | |
| KD+PUBackbone=DenseNet2018.07 | 86.95 | 82.06 | 89.51 | 85.68 | |
| KD+PUBackbone=ResNet2018.07 | 82.67 | 66.19 | 89.71 | 76.57 |