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papers [2019/10/21 21:07]
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papers [2019/10/24 19:37] (current)
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           *[[https://aclweb.org/anthology/P18-2006|HotFlip: White-Box Adversarial Examples for Text Classification]]           *[[https://aclweb.org/anthology/P18-2006|HotFlip: White-Box Adversarial Examples for Text Classification]]
           *[[https://arxiv.org/pdf/1801.02610.pdf|Generating Adversarial Examples with Adversarial Networks]]           *[[https://arxiv.org/pdf/1801.02610.pdf|Generating Adversarial Examples with Adversarial Networks]]
 +          *[[https://arxiv.org/pdf/1707.08945.pdf|Robust Physical-World Attacks on Deep Learning Models]]
        *Backdoor attack and defense        *Backdoor attack and defense
           *[[https://machine-learning-and-security.github.io/papers/mlsec17_paper_51.pdf|BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain]]           *[[https://machine-learning-and-security.github.io/papers/mlsec17_paper_51.pdf|BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain]]
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