Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization-Reference-Cited by-同舟云学术

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Improving Generalization of Deepfake Detectors by Imposing Gradient Regularization

Published:2024 Issue: Volume:19 Page:5345-5356
ISSN:1556-6013
Container-title:IEEE Transactions on Information Forensics and Security
language:
Short-container-title:IEEE Trans.Inform.Forensic Secur.

Author:

Guan Weinan¹^ORCID,Wang Wei²^ORCID,Dong Jing²^ORCID,Peng Bo²^ORCID

Affiliation:

1. School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China

2. State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Center for Research on Intelligent Perception and Computing (CRIPAC), Institute of Automation, Chinese Academy of Sciences (CASIA), Beijing, China

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/10206/10319981/10516609.pdf?arnumber=10516609

Reference80 articles.

1. FSGAN: Subject Agnostic Face Swapping and Reenactment

2. Advancing High Fidelity Identity Swapping for Forgery Detection

3. Information Bottleneck Disentanglement for Identity Swapping

4. SimSwap

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