Efficient privacy-preserving face verification scheme

被引：9

作者：

Huang, Hai ^{[1
]}

Wang, Luyao ^{[1
]}

机构：

[1] Zhejiang Sci Tech Univ, Informat Sch, Hangzhou 310018, Peoples R China

来源：

JOURNAL OF INFORMATION SECURITY AND APPLICATIONS | 2021年 / 63卷

关键词：

Privacy-preserving computation; Face verification; Computation over encrypted data; Fully homomorphic encryption; Garbled circuit; HOMOMORPHIC ENCRYPTION; SECURE; AUTHENTICATION;

D O I：

10.1016/j.jisa.2021.103055

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Face verification has been a promising artificial intelligence technique and is becoming increasingly popular in civilian and law enforcement applications that require reliable biometric authentication. However, the wide deployment of face verification systems has raised serious privacy concerns regarding the abuse of users' face images. In this paper, we present an efficient privacy-preserving face verification scheme based on fully homomorphic encryption and garbled circuit. Our protocol is the first one that guarantees that the server cannot learn anything about users' face images and the verification result while providing the face verification service, and the client learns nothing beyond the verification result. Experimental results show that our scheme takes less than one second to perform a privacy-preserving face verification.

引用

页数：10

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