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Utility-Preserving Face Anonymization via...
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Utility-Preserving Face Anonymization via Differentially Private Feature Operations

Abstract

Facial images play a crucial role in many web and security applications, but their uses come with notable privacy risks. Despite the availability of various face anonymization algorithms, they often fail to withstand advanced attacks while struggling to maintain utility for subsequent applications. We present two novel face anonymization algorithms that utilize feature operations to overcome these limitations. The first algorithm utilizes …

Authors

Li C; Simionescu S; He W; Qiao S; Kara N; Talhi C

Volume

00

Pagination

pp. 2279-2288

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Publication Date

May 23, 2024

DOI

10.1109/infocom52122.2024.10621407

Name of conference

IEEE INFOCOM 2024 - IEEE Conference on Computer Communications