Adversarial Robustness Evaluation on Tiny-ImageNet (test)
50.3Clean AccuracyTRADES
Evaluation results
| Method | Links | |||||||
|---|---|---|---|---|---|---|---|---|
| TRADESBackbone=ResNet-342026.06 | 50.3 | 2.7 | 14.2 | 5.8 | 2.9 | 4.6 | 6 | |
| RAMPBackbone=ResNet-342026.06 | 48.9 | 2.2 | 10.2 | 3.7 | 5.2 | 9 | 6.1 | |
| FACEBackbone=ResNet-342026.06 | 47.3 | 0 | 0 | 0.4 | 0 | 0.1 | 0.1 | |
| FACEBackbone=MobileViT-XS2026.06 | 45.5 | 0 | 0.2 | 0.5 | 0 | 0.2 | 0.2 | |
| TaFDBackbone=ResNet-342026.06 | 44.9 | 8.2 | 18.4 | 15 | 12.3 | 17.9 | 14.4 | |
| TRADESBackbone=MobileViT-XS2026.06 | 44.2 | 2.9 | 16.3 | 3.2 | 3 | 5.7 | 6.2 | |
| TaFDBackbone=MobileViT-XS2026.06 | 41 | 5.7 | 14.3 | 10.4 | 10.4 | 18.9 | 11.9 | |
| Mean-ATBackbone=ResNet-342026.06 | 37 | 4.2 | 12.9 | 7 | 8.9 | 11.7 | 8.9 | |
| MNGBackbone=ResNet-342026.06 | 36.2 | 4.4 | 15.3 | 3.9 | 2.9 | 10 | 7.3 | |
| GBNBackbone=ResNet-342026.06 | 28.2 | 0.1 | 0.2 | 1.9 | 4.6 | 1.1 | 1.6 | |
| Mean-ATBackbone=MobileViT-XS2026.06 | 25.9 | 7.9 | 17.4 | 1.1 | 3.3 | 8.4 | 7.6 | |
| MNGBackbone=MobileViT-XS2026.06 | 23.3 | 7.4 | 15.8 | 1.1 | 3.3 | 7.5 | 7 | |
| RAMPBackbone=MobileViT-XS2026.06 | 16.6 | 3.9 | 9.8 | 0.2 | 1.9 | 6.1 | 4.4 | |
| DATBackbone=ResNet-342026.06 | 16.1 | 1.9 | 6.8 | 0.6 | 2.1 | 3.7 | 3 | |
| DATBackbone=MobileViT-XS2026.06 | 11.6 | 3.9 | 7.5 | 0.3 | 2.7 | 3.7 | 3.6 | |
| PUATBackbone=ResNet-342026.06 | 2 | 0.4 | 1.1 | 0.3 | 0.7 | 0.8 | 0.7 | |
| GBNBackbone=MobileViT-XS2026.06 | 1.1 | 0 | 0 | 0 | 0 | 0 | 0 | |
| PUATBackbone=MobileViT-XS2026.06 | 0.9 | 0.6 | 0.7 | 0.5 | 0.5 | 0.6 | 0.6 |