arXiv 2505.154762025-05-21cs.CVcs.CR

Pura：一种高效的人脸识别隐私保护解决方案

Pura: An Efficient Privacy-Preserving Solution for Face Recognition

Guangzhou Institute of Technology（广州技术研究院）；Shaanxi Key Laboratory of Blockchain and Secure Computing（陕西省区块链与安全计算重点实验室）；Xidian University（西安电子科技大学）；School of Cyber Engineering（网络安全学院）；Engineering Research Center of Trusted Digital Economy（可信数字经济工程研究中心）；Universities of Shaanxi Province（陕西省高校）；China Resources Intelligent Computing Technology Co., Ltd.（中国资源智能计算技术有限公司）；Chinese Academy of Surveying and Mapping（国家测绘地理信息局）；State Key Laboratory of Integrated Service Networks（集成服务网络国家重点实验室）

Guotao Xu, Bowen Zhao, Yang Xiao, Yantao Zhong, Liang Zhai, Qingqi Pei

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AI总结：

针对人脸识别的隐私保护方案存在隐私保护不充分、效率低的问题，提出基于阈值Paillier密码系统的Pura方案，搭配安全计算协议与并行机制，隐私保护完备且识别速度达现有最优方案的16倍。

摘要：

人脸识别是通过面部图像识别目标人员的有效技术，但敏感的面部图像引发了隐私担忧。尽管隐私保护人脸识别是潜在解决方案之一，但该方案既未能完全解决隐私顾虑，效率也不够高。为此，我们提出了一种高效的人脸识别隐私保护解决方案，名为Pura，它能充分保护面部隐私，并高效支持加密数据上的人脸识别。具体而言，我们通过阈值Paillier密码系统，提出了一种非交互式的隐私保护人脸识别架构。此外，我们精心设计了一套底层安全计算协议，可直接在加密数据上高效执行人脸识别操作。我们还引入了并行计算机制，以提升所提安全计算协议的性能。隐私分析表明，Pura可全面保护个人面部隐私。实验评估显示，Pura的识别速度比现有最优方案快16倍。

英文摘要：

Face recognition is an effective technology for identifying a target person by facial images. However, sensitive facial images raises privacy concerns. Although privacy-preserving face recognition is one of potential solutions, this solution neither fully addresses the privacy concerns nor is efficient enough. To this end, we propose an efficient privacy-preserving solution for face recognition, named Pura, which sufficiently protects facial privacy and supports face recognition over encrypted data efficiently. Specifically, we propose a privacy-preserving and non-interactive architecture for face recognition through the threshold Paillier cryptosystem. Additionally, we carefully design a suite of underlying secure computing protocols to enable efficient operations of face recognition over encrypted data directly. Furthermore, we introduce a parallel computing mechanism to enhance the performance of the proposed secure computing protocols. Privacy analysis demonstrates that Pura fully safeguards personal facial privacy. Experimental evaluations demonstrate that Pura achieves recognition speeds up to 16 times faster than the state-of-the-art.

机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。