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]
@inproceedings{ZhangLZ0Z20,
title = {A Simple yet Effective Unsupervised Adversarial Example Generation Framework for Vulnerability Assessment on Deep Learning},
author = {Rongkun Zhang and Dan Liu and Wentao Zhao and Qiang Liu 0004 and Chengzhang Zhu},
year = {2020},
doi = {10.1007/978-981-16-1877-2_8},
url = {https://doi.org/10.1007/978-981-16-1877-2_8},
researchr = {https://researchr.org/publication/ZhangLZ0Z20},
cites = {0},
citedby = {0},
pages = {107-122},
booktitle = {Theoretical Computer Science - 38th National Conference, NCTCS 2020, Nanning, China, November 13-15, 2020, Revised Selected Papers},
editor = {Kun He 0001 and Cheng Zhong and Zhiping Cai and Yitong Yin},
volume = {1352},
series = {Communications in Computer and Information Science},
publisher = {Springer},
isbn = {978-981-16-1877-2},
}