Privacy-preserving outsourcing decision tree evaluation from homomorphic encryption-Reference-Cited by-同舟云学术

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Privacy-preserving outsourcing decision tree evaluation from homomorphic encryption

Published:2023-09 Issue: Volume:77 Page:103582
ISSN:2214-2126
Container-title:Journal of Information Security and Applications
language:en
Short-container-title:Journal of Information Security and Applications

Author:

Xu Kexin^ORCID,Tan Benjamin Hong Meng^ORCID,Wang Li-Ping,Aung Khin Mi Mi^ORCID,Wang Huaxiong

Funder

Agency for Science, Technology and Research

Ministry of Education - Singapore

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Safety, Risk, Reliability and Quality,Software

Reference37 articles.

1. Fully homomorphic encryption using ideal lattices;Gentry,2009

2. (Leveled) fully homomorphic encryption without bootstrapping;Brakerski,2012

3. Somewhat practical fully homomorphic encryption;Fan;IACR Cryptol ePrint Arch,2012

4. Homomorphic encryption from learning with errors: Conceptually-simpler, asymptotically-faster, attribute-based;Gentry,2013

5. Homomorphic encryption for arithmetic of approximate numbers;Cheon,2017

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Random forest evaluation using multi-key homomorphic encryption and lookup tables;International Journal of Information Security;2024-03-14

2. Machine Learning Security Defense Algorithms Based on Metadata Correlation Features;Computers, Materials & Continua;2024

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