GF-Attack: A Strategy to Improve the Performance of Adversarial Example

Jintao Zhang, Zhenghao Liu, Liren Wu, Liwen Wu, Qing Duan, Junhui Liu. GF-Attack: A Strategy to Improve the Performance of Adversarial Example. In Xiaofeng Chen 0001, Hongyang Yan, Qiben Yan, Xiangliang Zhang 0001, editors, Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II. Volume 12487 of Lecture Notes in Computer Science, pages 501-513, Springer, 2020. [doi]

@inproceedings{ZhangLWWDL20,
  title = {GF-Attack: A Strategy to Improve the Performance of Adversarial Example},
  author = {Jintao Zhang and Zhenghao Liu and Liren Wu and Liwen Wu and Qing Duan and Junhui Liu},
  year = {2020},
  doi = {10.1007/978-3-030-62460-6_45},
  url = {https://doi.org/10.1007/978-3-030-62460-6_45},
  researchr = {https://researchr.org/publication/ZhangLWWDL20},
  cites = {0},
  citedby = {0},
  pages = {501-513},
  booktitle = {Machine Learning for Cyber Security - Third International Conference, ML4CS 2020, Guangzhou, China, October 8-10, 2020, Proceedings, Part II},
  editor = {Xiaofeng Chen 0001 and Hongyang Yan and Qiben Yan and Xiangliang Zhang 0001},
  volume = {12487},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-030-62460-6},
}