Adversarial Defense On Cifar 100
Métriques
autoattack
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | autoattack | Paper Title | Repository |
|---|---|---|---|
| resnet18 | 60.10/35.05 | Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria | - |
| wideresnet-34-10 | 70.25/27.16 | Learnable Boundary Guided Adversarial Training | - |
| wideresnet-34-20 | 62.55/30.20 | Learnable Boundary Guided Adversarial Training | - |
0 of 3 row(s) selected.