FD-GAN: Generalizable and Robust Forgery Detection via Generative Adversarial Networks

Author:

Xu Nanqing,Feng Weiwei,Zhang TianzhuORCID,Zhang Yongdong

Publisher

Springer Science and Business Media LLC

Reference94 articles.

1. Afchar, D., Nozick, V., Yamagishi, J., & et al. (2018). Mesonet: A compact facial video forgery detection network. In 2018 IEEE international workshop on information forensics and security (WIFS), IEEE, pp. 1–7.

2. Agarwal, S., Farid, H., Gu, Y., & et al. (2019). Protecting world leaders against deep fakes. In CVPR workshops, p 38.

3. Awasthi, P., Jain, H., Rawat, A. S., et al. (2020). Adversarial robustness via robust low rank representations. Advances in Neural Information Processing Systems, 33, 11391–11403.

4. Brock, A., Donahue, J., & Simonyan, K. (2018). Large scale gan training for high fidelity natural image synthesis. arXiv:1809.11096

5. Carlini, N., & Farid, H. (2020). Evading deepfake-image detectors with white-and black-box attacks. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops, pp. 658–659.

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