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Adversarial Robustness On Cifar 100
Métriques
AutoAttacked Accuracy
Clean Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
| Paper Title | |||
|---|---|---|---|
| Mixed Classifier | 38.72 | 85.21 | Improving the Accuracy-Robustness Trade-Off of Classifiers via Adaptive Smoothing |
| ResNet18/MART-ANCRA | 35.05 | 60.10 | Enhancing Robust Representation in Adversarial Training: Alignment and Exclusion Criteria |
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