HE_FaceNet error rate.

<div><p>In recent years, facial recognition technology has been widely adopted in modern society. However, the plaintext storage, computation, and transmission of facial data have posed significant risks of information leakage. To address this issue, this paper proposes a facial recognit...

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Bibliographic Details
Main Author:	Zhigang Song (113445) (author)
Other Authors:	Gong Wang (745924) (author), Wenqin Yang (16536927) (author), Yunliang Li (5664629) (author), Yinsheng Yu (20707379) (author), Zeli Wang (5508272) (author), Xianghan Zheng (20707382) (author), Yang Yang (45629) (author)
Published:	2025
Subjects:	Molecular Biology Neuroscience Science Policy Plant Biology Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified posed significant risks optimization scheme based grouping similar faces approximate homomorphic encryption face recognition based performance analysis indicates he_facenet ), aimed framework first utilizes facial recognition technology facial recognition process he_facenet framework final recognition facial data clustering analysis xlink "> widely adopted trained model significantly improved recent years preserving method practical applicability plaintext storage paper proposes paper introduces modern society information leakage consuming nature clustering algorithms
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HE_FaceNet error rate.

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