面向机器学习的隐私保护关键技术综述

电信科学 Pub Date : 2020-11-20 DOI:10.11959/J.ISSN.1000-0801.2020283

Zishan Liu, Q. Cheng, Bo Lv

引用次数: 0

摘要

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A survey on key technologies of privacy protection for machine learning

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来源期刊

电信科学

自引率

0.00%

发文量

11935

期刊介绍： Telecommunications Science, founded in 1956, is an information and communication technology journal sponsored by China Institute of Communications and The People's Posts and Telecommunications Press. It has been selected as a core Chinese journal and a core Chinese science and technology journal and has extensive influence in the field of information and communication because of its authority, guidance, knowledge and practicability. The targeted readers are information and communication researchers, engineering and technical personnel, middle and senior management personnel and teachers and students of information and communication universities. The magazine focuses on the achievements of major research projects (such as the National Natural Science Foundation, the National "863" Program, the National "973" Program, the National Outstanding Youth Fund, the National Education Commission's "Trans-Century Excellent Talents Training Program" Fund, the National Defense Research Fund and other projects) as well as the achievements of various innovative research topics.