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Author

Hao Yu

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Preprint Oct 2026

How Private is Private? A Comparative Study for Face De-Identification

Face de-identification (FDeID) has emerged as a critical privacy-preserving technology, yet its evaluation remains fundamentally fragmented. Existing protocols rely on inconsistent metrics, heterogeneous datasets, and partial annotation coverage, so methods targeting different utility dimensions, such as landmark versu...

Hui Wei, Hao Yu, Hui Kuurila-Zhang et al. · 0 citations
Review Open access Jul 2026

Face De-Identification: A Domain-Centric Survey from Capture to Processing

Face de-identification (De-ID) aims to remove or conceal personally identifiable facial features in images or videos to prevent identity recognition while preserving utility for downstream tasks. With the rising emphasis on data privacy and responsible AI, face De-ID has emerged as an active research area spanning comp...

Hui Wei, Hao Yu, Guoying Zhao · 0 citations

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