摘要： 人脸识别技术是计算机视觉研究的重要课题，在生物认证领域有着广泛的应用前景。然而人脸图像的易获取性使其被滥用，造成隐私的泄露，因此各界对用户人脸图像隐私问题的关注度日益提高。提出了一种基于全同态加密的安全人脸识别算法，可以有效地保护用户人脸图像的隐私，保证服务器在提供人脸识别服务时，不会学习到用户图像的任何信息。实验结果表明，该算法安全性较高，计算效率也有所提高。

中图分类号： TP391.4；TP309.7
文献标识码： A
DOI： 10.19358/j.issn.2096-5133.2021.08.005
引用格式： 王璐瑶. 基于全同态加密的安全人脸识别算法[J].信息技术与网络安全，2021，40(8)：30-34，59.

Secure face recognition algorithm based on full homomorphic encryption

Abstract： Face recognition technology is an important topic in computer vision research and has a wide range of application prospects in the field of biometric authentication. However, the ease of access to face images has led to their misuse and causes privacy leakage, so there is an increasing concern about the privacy of users′ face images from all walks of life. In this paper, we proposed a face recognition algorithm based on full homomorphic encryption, which can effectively protect the privacy of user face images and ensure that the server does not learn any information about user images when providing face recognition services. The experimental results show that the algorithm in this paper is more secure and the computational efficiency is also improved.

Key words : fully homomorphic encryption；face recognition；single instruction multiple data；privacy-preserving computation