A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning - researchr publication authors

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Rongkun Zhang, Dan Liu, Wentao Zhao, Qiang Liu 0004, Chengzhang Zhu. A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning. In Kun He 0001, Cheng Zhong, Zhiping Cai, Yitong Yin, editors, Theoretical Computer Science - 38th National Conference, NCTCS 2020, Nanning, China, November 13-15, 2020, Revised Selected Papers. Volume 1352 of Communications in Computer and Information Science, pages 107-122, Springer, 2020. [doi]

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