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AdvRefactor: A Resampling-Based Defense Against Adversarial Attacks.

ADVANCES IN MULTIMEDIA INFORMATION PROCESSING - PCM 2018, PT II, (2018): 815-825

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Abstract

Deep neural networks have achieved great success in many domains. However, they are vulnerable to adversarial attacks, which generate adversarial examples by adding tiny perturbations to legitimate images. Previous studies providing defense mostly focus on modifying DNN models to mitigate adversarial attacks. We propose a resampling-based...More

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