Privacy-preserving convolutional neural network inference scheme based on homomorphic ciphertext transformation

To solve the problems of frequent interaction and low prediction accuracy of existing privacy-protected convolutional neural networks, a homomorphic friendly non-interactive privacy-protected convolutional neural network inference scheme was proposed via homomorphic ciphertext transformation. Utiliz...

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Bibliographic Details
Main Authors: LI Ruiqi, YI Qin, HUANG Yixuan, JIA Chunfu
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2024-10-01
Series:Tongxin xuebao
Subjects:
Online Access:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2024216/
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