Conference
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