The Adversarial Attack and Detection under the Fisher Information Metric

9 Oct 2018Chenxiao ZhaoP. Thomas FletcherMixue YuYaxin PengGuixu ZhangChaomin Shen

Many deep learning models are vulnerable to the adversarial attack, i.e., imperceptible but intentionally-designed perturbations to the input can cause incorrect output of the networks. In this paper, using information geometry, we provide a reasonable explanation for the vulnerability of deep learning models... (read more)

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