Survey on model inversion attack and defense in federated learning

被引:0
|
作者
Wang, Dong [1 ]
Qin, Qianqian [1 ]
Guo, Kaitian [1 ]
Liu, Rongke [1 ]
Yan, Weipeng [1 ]
Ren, Yizhi [1 ]
Luo, Qingcai [2 ]
Shen, Yanzhao [3 ]
机构
[1] School of Cyberspace Security, Hangzhou Dianzi University, Hangzhou,310018, China
[2] Shandong Inspur Science Research Institute Co., Ltd, Jinan,250000, China
[3] Shandong Blockchain Research Institute, Jinan,250000, China
来源
关键词
Compilation and indexing terms; Copyright 2025 Elsevier Inc;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:94 / 109
相关论文
共 50 条
  • [1] Survey on Attack Methods and Defense Mechanisms in Federated Learning
    Zhang, Shiwen
    Chen, Shuang
    Liang, Wei
    Li, Renfa
    Computer Engineering and Applications, 2024, 60 (05) : 1 - 16
  • [2] Survey of Backdoor Attack and Defense Algorithms Based on Federated Learning
    Liu, Jialang
    Guo, Yanming
    Lao, Mingrui
    Yu, Tianyuan
    Wu, Yulun
    Feng, Yunhao
    Wu, Jiazhuang
    Jisuanji Yanjiu yu Fazhan/Computer Research and Development, 2024, 61 (10): : 2607 - 2626
  • [3] FLAIR: Defense against Model Poisoning Attack in Federated Learning
    Sharma, Atul
    Chen, Wei
    Zhao, Joshua
    Qiu, Qiang
    Bagchi, Saurabh
    Chaterji, Somali
    PROCEEDINGS OF THE 2023 ACM ASIA CONFERENCE ON COMPUTER AND COMMUNICATIONS SECURITY, ASIA CCS 2023, 2023, : 553 - +
  • [4] Backdoor Attack Defense Method for Federated Learning Based on Model Watermarking
    Guo J.-J.
    Liu J.-Z.
    Ma Y.
    Liu Z.-Q.
    Xiong Y.-P.
    Miao K.
    Li J.-X.
    Ma J.-F.
    Jisuanji Xuebao/Chinese Journal of Computers, 2024, 47 (03): : 662 - 676
  • [5] Defense against backdoor attack in federated learning
    Lu, Shiwei
    Li, Ruihu
    Liu, Wenbin
    Chen, Xuan
    COMPUTERS & SECURITY, 2022, 121
  • [6] FADO: A Federated Learning Attack and Defense Orchestrator
    Rodrigues, Filipe
    Simoes, Rodrigo
    Neves, Nuno
    2023 53RD ANNUAL IEEE/IFIP INTERNATIONAL CONFERENCE ON DEPENDABLE SYSTEMS AND NETWORKS WORKSHOPS, DSN-W, 2023, : 141 - 148
  • [7] An empirical analysis of image augmentation against model inversion attack in federated learning
    Shin, Seunghyeon
    Boyapati, Mallika
    Suo, Kun
    Kang, Kyungtae
    Son, Junggab
    CLUSTER COMPUTING-THE JOURNAL OF NETWORKS SOFTWARE TOOLS AND APPLICATIONS, 2023, 26 (01): : 349 - 366
  • [8] An empirical analysis of image augmentation against model inversion attack in federated learning
    Seunghyeon Shin
    Mallika Boyapati
    Kun Suo
    Kyungtae Kang
    Junggab Son
    Cluster Computing, 2023, 26 : 349 - 366
  • [9] BADFL: Backdoor Attack Defense in Federated Learning From Local Model Perspective
    Zhang, Haiyan
    Li, Xinghua
    Xu, Mengfan
    Liu, Ximeng
    Wu, Tong
    Weng, Jian
    Deng, Robert H.
    IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2024, 36 (11) : 5661 - 5674
  • [10] AGIC: Approximate Gradient Inversion Attack on Federated Learning
    Xu, Jin
    Hong, Chi
    Huang, Jiyue
    Chen, Lydia Y.
    Decouchant, Jeremie
    2022 41ST INTERNATIONAL SYMPOSIUM ON RELIABLE DISTRIBUTED SYSTEMS (SRDS 2022), 2022, : 12 - 22