Adversarial Attack On Cifar 10
Métriques
Attack: PGD20
Résultats
Résultats de performance de divers modèles sur ce benchmark
Tableau comparatif
Nom du modèle | Attack: PGD20 |
---|---|
theoretically-principled-trade-off-between | 45.900 |
towards-deep-learning-models-resistant-to | 48.440 |
attention-masks-help-adversarial-attacks-to | - |
ensemble-everything-everywhere-multi-scale | - |
an-orthogonal-classifier-for-improving-the | 78.680 |
robust-representation-learning-via-asymmetric | - |