Adversarial Defense On Mnist
Métriques
Accuracy
Inference speed
Résultats
Résultats de performance de divers modèles sur ce benchmark
Nom du modèle | Accuracy | Inference speed | Paper Title | Repository |
|---|---|---|---|---|
| Defense GAN | 0.8529 | 14.80 | Defense-GAN: Protecting Classifiers Against Adversarial Attacks Using Generative Models | - |
| PuVAE | 0.8133 | 0.11 | PuVAE: A Variational Autoencoder to Purify Adversarial Examples | - |
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