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

Wang et al. "Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-Aware Perturbations." International Joint Conference on Artificial Intelligence, 2022. doi:10.24963/IJCAI.2022/107

[Wang et al. "Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-Aware Perturbations." International Joint Conference on Artificial Intelligence, 2022.](https://mlanthology.org/ijcai/2022/wang2022ijcai-anti/) doi:10.24963/IJCAI.2022/107

@inproceedings{wang2022ijcai-anti,
  title     = {{Anti-Forgery: Towards a Stealthy and Robust DeepFake Disruption Attack via Adversarial Perceptual-Aware Perturbations}},
  author    = {Wang, Run and Huang, Ziheng and Chen, Zhikai and Liu, Li and Chen, Jing and Wang, Lina},
  booktitle = {International Joint Conference on Artificial Intelligence},
  year      = {2022},
  pages     = {761-767},
  doi       = {10.24963/IJCAI.2022/107},
  url       = {https://mlanthology.org/ijcai/2022/wang2022ijcai-anti/}
}