iFADIT: Invertible Face Anonymization via Disentangled Identity Transform

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Lin Yuan, Kai Liang, Xiong Li, Tao Wu, Nannan Wang, Xinbo Gao

Published: 2025, Last Modified: 11 Oct 2025Pattern Recognit. 2025EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Highlights•Secure, reversible, high-quality face anonymization via identity disentanglement.•A dual-phase strategy balancing privacy, diversity, and image quality.•Experiments show superior DeID, reversibility, diversity, and interpretability.