Provable Adversarial Defense On Cifar 10
Métriques
Accuracy
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Paper Title | Repository |
|---|---|---|---|
| SLL Medium | 69.1 | A Unified Algebraic Perspective on Lipschitz Neural Networks | |
| SLL X-Large | 70.3 | A Unified Algebraic Perspective on Lipschitz Neural Networks | |
| SLL Small | 68.1 | A Unified Algebraic Perspective on Lipschitz Neural Networks | |
| SLL Large | 69.8 | A Unified Algebraic Perspective on Lipschitz Neural Networks |
0 of 4 row(s) selected.