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Membership Inference Attacks and Defenses in Federated Learning: A
  Survey

Membership Inference Attacks and Defenses in Federated Learning: A Survey

9 December 2024
Li Bai
Haibo Hu
Qingqing Ye
Haoyang Li
Leixia Wang
Jianliang Xu
    FedML
ArXivPDFHTML

Papers citing "Membership Inference Attacks and Defenses in Federated Learning: A Survey"

7 / 7 papers shown
Title
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Securing Genomic Data Against Inference Attacks in Federated Learning Environments
Chetan Pathade
Shubham Patil
26
0
0
12 May 2025
Onboard Optimization and Learning: A Survey
Onboard Optimization and Learning: A Survey
Monirul Islam Pavel
Siyi Hu
Mahardhika Pratama
Ryszard Kowalczyk
26
0
0
07 May 2025
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
OBLIVIATE: Robust and Practical Machine Unlearning for Large Language Models
Xiaoyu Xu
Minxin Du
Qingqing Ye
Haibo Hu
MU
57
0
0
07 May 2025
Trustworthy Machine Learning via Memorization and the Granular Long-Tail: A Survey on Interactions, Tradeoffs, and Beyond
Qiongxiu Li
Xiaoyu Luo
Yiyi Chen
Johannes Bjerva
48
0
0
10 Mar 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks
Haoyang Li
Li Bai
Qingqing Ye
Haibo Hu
Yaxin Xiao
Huadi Zheng
Jianliang Xu
66
0
0
26 Feb 2025
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Vertical Federated Learning in Practice: The Good, the Bad, and the Ugly
Zhaomin Wu
Zhen Qin
Junyi Hou
Haodong Zhao
Qinbin Li
Bingsheng He
Lixin Fan
FedML
71
2
0
12 Feb 2025
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems
Guangjing Wang
Ce Zhou
Yuanda Wang
Bocheng Chen
Hanqing Guo
Qiben Yan
AAML
SILM
63
3
0
20 Nov 2023
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