MODEF combines a denoising autoencoder ensemble with a verification model ensemble, using kappa diversity, to defend image classifiers against adversarial examples.
Defense-gan: Protecting classifiers against adversarial attacks using generative models,
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Denoising and Verification Cross-Layer Ensemble Against Black-box Adversarial Attacks
MODEF combines a denoising autoencoder ensemble with a verification model ensemble, using kappa diversity, to defend image classifiers against adversarial examples.