Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser

CVPR 2018 Fangzhou LiaoMing LiangYinpeng DongTianyu PangXiaolin HuJun Zhu

Neural networks are vulnerable to adversarial examples, which poses a threat to their application in security sensitive systems. We propose high-level representation guided denoiser (HGD) as a defense for image classification... (read more)

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