AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings

RenYang Liu, Jinhong Zhang, Haoran Li, Jin Zhang, Yuanyu Wang, Wei Zhou 0011. AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings. In Ding Wang 0002, Moti Yung, Zheli Liu, Xiaofeng Chen 0001, editors, Information and Communications Security - 25th International Conference, ICICS 2023, Tianjin, China, November 18-20, 2023, Proceedings. Volume 14252 of Lecture Notes in Computer Science, pages 502-518, Springer, 2023. [doi]

@inproceedings{LiuZLZWZ23,
  title = {AFLOW: Developing Adversarial Examples Under Extremely Noise-Limited Settings},
  author = {RenYang Liu and Jinhong Zhang and Haoran Li and Jin Zhang and Yuanyu Wang and Wei Zhou 0011},
  year = {2023},
  doi = {10.1007/978-981-99-7356-9_30},
  url = {https://doi.org/10.1007/978-981-99-7356-9_30},
  researchr = {https://researchr.org/publication/LiuZLZWZ23},
  cites = {0},
  citedby = {0},
  pages = {502-518},
  booktitle = {Information and Communications Security - 25th International Conference, ICICS 2023, Tianjin, China, November 18-20, 2023, Proceedings},
  editor = {Ding Wang 0002 and Moti Yung and Zheli Liu and Xiaofeng Chen 0001},
  volume = {14252},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-981-99-7356-9},
}