• Corpus ID: 232075725

Countering Malicious DeepFakes: Survey, Battleground, and Horizon

@article{JuefeiXu2021CounteringMD,
  title={Countering Malicious DeepFakes: Survey, Battleground, and Horizon},
  author={Felix Juefei-Xu and Run Wang and Yihao Huang and Qing Guo and Lei Ma and Yang Liu},
  journal={ArXiv},
  year={2021},
  volume={abs/2103.00218}
}
The creation or manipulation of facial appearance through deep generative approaches, known as DeepFake, have achieved significant progress and promoted a wide range of benign and malicious applications, e.g., visual effect assistance in movie and misinformation generation by faking famous persons. The evil side of this new technique poses another popular study, i.e., DeepFake detection aiming to identify the fake faces from the real ones. With the rapid development of the DeepFake-related… 
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