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Efficient Keyset Design for Neural Networks Using Homomorphic Encryption.

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第一作者： Youyeon,Joo

第一单位： Department of Electrical and Computer Engineering & ISRC, Seoul National University, Seoul 08826, Republic of Korea.

作者： Youyeon,Joo ^[1] ; Seungjin,Ha ^[1] ; Hyunyoung,Oh ^[2] ; Yunheung,Paek ^[1]

作者单位： Department of Electrical and Computer Engineering & ISRC, Seoul National University, Seoul 08826, Republic of Korea. ^[1] Department of AI, Gachon University, Seongnam-si 13120, Republic of Korea. ^[2]

关键词 CKKS cryptography fully homomorphic encryption intrusion detection system machine learning as a service neural networks privacy-preserving machine learning privacy-preserving techniques rotation keyset

DOI 10.3390/s25144320

PMID 40732448

发布时间 2025-08-02

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2025年25卷14期

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Efficient Keyset Design for Neural Networks Using Homomorphic Encryption.

Sensors (Basel, Switzerland)

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Efficient Keyset Design for Neural Networks Using Homomorphic Encryption.

Sensors (Basel, Switzerland)

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