计算机工程与应用2024，Vol.60Issue(5)：1-16,16.DOI:10.3778/j.issn.1002-8331.2306-0243
联邦学习中的攻击手段与防御机制研究综述
Survey on Attack Methods and Defense Mechanisms in Federated Learning
摘要
Abstract
The attack and defense techniques of federated learning are the core issue of federated learning system security.The attack and defense techniques of federated learning can significantly reduce the risk of being attacked and greatly enhance the security of federated learning systems.Deeply understanding the attack and defense techniques of federated learning can advance research in the field and achieve its widespread application of federated learning.Therefore,it is of great significance to study the attack and defense techniques of federated learning.Firstly,this paper briefly introduces the concept,basic workflow,types,and potential existing security issues of federated learning.Subsequently,the paper intro-duces the attacks that the federated learning system may encounter,and relevant research is summarized during the intro-duction.Then,starting from whether the federated learning system has targeted defense measures,the defense measures are divided into two categories:universal defense measures and targeted defense measures,and targeted summary are made.Finally,it reviews and analyzes the future research directions for the security of federated learning,providing refer-ence for relevant researchers in their research work on the security of federated learning.关键词
联邦学习/攻击手段/防御措施/隐私保护Key words
federated learning/attack method/defense mechanism/privacy protection分类
信息技术与安全科学引用本文复制引用
张世文,陈双,梁伟,李仁发..联邦学习中的攻击手段与防御机制研究综述[J].计算机工程与应用,2024,60(5):1-16,16.基金项目
国家自然科学基金(61702180) （61702180）
湖南省自然科学基金面上项目(2022JJ30267) （2022JJ30267）
福建省自然科学基金(2022J05106) （2022J05106）
湖南省教育厅优秀青年项目(21B0493). （21B0493）
