Feature Denoising for Improving Adversarial Robustness

    computer vision and pattern recognition, 2019.

    Cited by: 157|Bibtex|Views247|Links
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    Abstract:

    Adversarial attacks to image classification systems present challenges to convolutional networks and opportunities for understanding them. This study suggests that adversarial perturbations on images lead to noise in the features constructed by these networks. Motivated by this observation, we develop new network architectures that incr...More

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