HF-Defend: Defending Against Adversarial Examples Based on Halftoning

Gaozhi Liu, Sheng Li 0006, Zhenxing Qian, Xinpeng Zhang 0001. HF-Defend: Defending Against Adversarial Examples Based on Halftoning. In 24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022, Shanghai, China, September 26-28, 2022. pages 1-6, IEEE, 2022. [doi]

@inproceedings{LiuLQZ22-0,
  title = {HF-Defend: Defending Against Adversarial Examples Based on Halftoning},
  author = {Gaozhi Liu and Sheng Li 0006 and Zhenxing Qian and Xinpeng Zhang 0001},
  year = {2022},
  doi = {10.1109/MMSP55362.2022.9948798},
  url = {https://doi.org/10.1109/MMSP55362.2022.9948798},
  researchr = {https://researchr.org/publication/LiuLQZ22-0},
  cites = {0},
  citedby = {0},
  pages = {1-6},
  booktitle = {24th IEEE International Workshop on Multimedia Signal Processing, MMSP 2022, Shanghai, China, September 26-28, 2022},
  publisher = {IEEE},
  isbn = {978-1-6654-7189-3},
}