Adversarial Detection on ImageNet-1K AutoAttack 1.0 (test)
1Test Attack PowerSAMMD
Evaluation results
| Method | Links | |
|---|---|---|
| SAMMDepsilon=6/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| SAMMDepsilon=7/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| SAMMDepsilon=8/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=3/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=4/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=5/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=6/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=7/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=8/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=3/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=4/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=5/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=6/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=7/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| Variance Discrepancy (VD)epsilon=8/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=3/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=4/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=5/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=6/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=7/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| USADepsilon=8/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 1 | |
| SAMMDepsilon=5/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.998 | |
| USADepsilon=2/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.998 | |
| Variance Discrepancy (VD)epsilon=2/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.984 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=2/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.98 | |
| SAMMDepsilon=4/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.953 | |
| SAMMDepsilon=3/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.765 | |
| USADepsilon=1/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.748 | |
| Variance Discrepancy (VD)epsilon=1/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.577 | |
| Perturbation-based Covariance Discrepancy (PCD)epsilon=1/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.569 | |
| SAMMDepsilon=2/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.31 | |
| SAMMDepsilon=1/255, Target model=ResNet-50, Sample size (|Y|)=502026.06 | 0.107 |