SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service-Reference-Cited by-同舟云学术

SecGNN: Privacy-Preserving Graph Neural Network Training and Inference as a Cloud Service

Author:

Wang Songlei¹^ORCID,Zheng Yifeng¹^ORCID,Jia Xiaohua¹^ORCID

Affiliation:

1. School of Computer Science and Technology, Harbin Institute of Technology, Shenzhen, Guangdong, China

Funder

Basic and Applied Basic Research Foundation of Guangdong Province

Shenzhen Science and Technology Program

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Information Systems and Management,Computer Networks and Communications,Computer Science Applications,Hardware and Architecture

Link

Reference74 articles.

1. CryptoNets: Applying neural networks to encrypted data with high throughput and accuracy;gilad-bachrach;Proc Int Conf Mach Learn,2016

5. GAZELLE: A low latency framework for secure neural network inference;juvekar;Proc Usenix Secur Symp,2018

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