Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations

Run Wang, Ziheng Huang, Zhikai Chen, Li Liu, Jing Chen, Lina Wang. Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations. In Luc De Raedt, editor, Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022. pages 761-767, ijcai.org, 2022. [doi]

@inproceedings{WangHCLCW22,
  title = {Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-aware Perturbations},
  author = {Run Wang and Ziheng Huang and Zhikai Chen and Li Liu and Jing Chen and Lina Wang},
  year = {2022},
  doi = {10.24963/ijcai.2022/107},
  url = {https://doi.org/10.24963/ijcai.2022/107},
  researchr = {https://researchr.org/publication/WangHCLCW22},
  cites = {0},
  citedby = {0},
  pages = {761-767},
  booktitle = {Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, IJCAI 2022, Vienna, Austria, 23-29 July 2022},
  editor = {Luc De Raedt},
  publisher = {ijcai.org},
}