DFIL: Deepfake Incremental Learning by Exploiting Domain-invariant Forgery Clues

Author:

Pan Kun1ORCID,Yin Yifang2ORCID,Wei Yao3ORCID,Lin Feng3ORCID,Ba Zhongjie3ORCID,Liu Zhenguang3ORCID,Wang Zhibo3ORCID,Cavallaro Lorenzo4ORCID,Ren Kui3ORCID

Affiliation:

1. Zhejiang University & ZJU-Hangzhou Global Scientific and Technological Innovation Center, Hangzhou, China

2. I2R, A*STAR, Singapore, Singapore

3. Zhejiang University, Hangzhou, China

4. University College London & Zhejiang University, London, United Kingdom

Funder

National Key R&D Program of China

National Natural Science Foundation of China

Publisher

ACM

Reference78 articles.

1. Transferring Audio Deepfake Detection Capability across Languages

2. Jihwan Bang , Heesu Kim , YoungJoon Yoo , Jung-Woo Ha , and Jonghyun Choi . Rainbow memory : Continual learning with a memory of diverse samples . In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition , pages 8218 -- 8227 , 2021 . Jihwan Bang, Heesu Kim, YoungJoon Yoo, Jung-Woo Ha, and Jonghyun Choi. Rainbow memory: Continual learning with a memory of diverse samples. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, pages 8218--8227, 2021.

3. Arslan Chaudhry , Marcus Rohrbach , Mohamed Elhoseiny , Thalaiyasingam Ajanthan , Puneet K Dokania , Philip HS Torr, and Marc'Aurelio Ranzato. On tiny episodic memories in continual learning. arXiv preprint arXiv:1902.10486 , 2019 . Arslan Chaudhry, Marcus Rohrbach, Mohamed Elhoseiny, Thalaiyasingam Ajanthan, Puneet K Dokania, Philip HS Torr, and Marc'Aurelio Ranzato. On tiny episodic memories in continual learning. arXiv preprint arXiv:1902.10486, 2019.

4. Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection

5. SimSwap

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