Encrypted Image Classification with Low Memory Footprint using Fully Homomorphic Encryption

IF 6.6 2区 计算机科学 Q1 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE International Journal of Neural Systems Pub Date : 2024-02-16 DOI:10.1142/s0129065724500254
Lorenzo Rovida, Alberto Leporati
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使用全同态加密技术进行低内存占用的加密图像分类
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来源期刊
International Journal of Neural Systems
International Journal of Neural Systems 工程技术-计算机：人工智能
CiteScore
11.30
自引率
28.80%
发文量
116
审稿时长
24 months
期刊介绍： The International Journal of Neural Systems is a monthly, rigorously peer-reviewed transdisciplinary journal focusing on information processing in both natural and artificial neural systems. Special interests include machine learning, computational neuroscience and neurology. The journal prioritizes innovative, high-impact articles spanning multiple fields, including neurosciences and computer science and engineering. It adopts an open-minded approach to this multidisciplinary field, serving as a platform for novel ideas and enhanced understanding of collective and cooperative phenomena in computationally capable systems.
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