Flexible privacy‐preserving machine learning: When searchable encryption meets homomorphic encryption-Reference-Cited by-同舟云学术

Flexible privacy‐preserving machine learning: When searchable encryption meets homomorphic encryption

Published:2022-08-17 Issue:11 Volume:37 Page:9173-9191
ISSN:0884-8173
Container-title:International Journal of Intelligent Systems
language:en
Short-container-title:Int J of Intelligent Sys

Author:

Jia Haixin¹^ORCID,Aldeen Mohammed S.¹,Zhao Chuan¹²³^ORCID,Jing Shan¹,Chen Zhenxiang¹

Affiliation:

1. School of Information Science and Engineering University of Jinan Jinan China

2. Quan Cheng Laboratory Jinan China

3. Shandong Provincial Key Laboratory of Network‐based Intelligent Computing Jinan China

Funder

National Natural Science Foundation of China

Publisher

Hindawi Limited

Subject

Artificial Intelligence,Human-Computer Interaction,Theoretical Computer Science,Software

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/int.22985

Reference22 articles.

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4. Analysis of research on amazon AWS cloud computing seller data security

5. ToubianaV NarayananA BonehD NissenbaumH BarocasS.Adnostic: privacy preserving targeted advertising.Proceedings of Network and Distributed System Symposium;2010.

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