Survey paper maps face de-identification techniques across physical, sensor, and digital domains

A new survey paper published on arXiv details the field of face de-identification (De-ID), which aims to remove or conceal facial features to protect privacy while maintaining utility for downstream tasks. The paper provides a comprehensive overview of current methodologies, categorizing them by domain: physical (wearable accessories), sensor (privacy mechanisms integrated into cameras), and digital (pixel-level modifications). It also reviews existing evaluation protocols, highlighting the need for standardized benchmarks, and outlines future research directions. AI

IMPACT Provides a structured overview of privacy-preserving techniques in computer vision, guiding future research in responsible AI.

RANK_REASON The item is a survey paper published on arXiv detailing a research area. [lever_c_demoted from research: ic=1 ai=1.0]

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• alphaXiv
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• Face De-Identification
• Gotit.pub
• Hugging Face
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