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低内存足迹的加密图像分类使用完全同态加密

Lorenzo Rovida1, Alberto Leporati1

  • 1Department of Informatics, Systems and Communication, University of Milan-Bicocca, Viale Sarca, 336, Milan, 20126, Italy.

International journal of neural systems
|March 22, 2024
PubMed
概括

本研究介绍了一种保护隐私的图像分类方法,使用具有残余网络的完全同型加密 (FHE). 它可以在标准硬件上进行准确的,加密的图像分析,保护敏感数据.

关键词:
加密的神经网络.同型型的加密方式.安全机器学习安全机器学习

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