Feature Denoising for Improving Adversarial Robustness

9 Dec 2018Cihang XieYuxin WuLaurens van der MaatenAlan YuilleKaiming He

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... (read more)

PDF Abstract

Evaluation results from the paper


  Submit results from this paper to get state-of-the-art GitHub badges and help community compare results to other papers.