Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks

4 July 2023

Papers citing "Analyzing the vulnerabilities in SplitFed Learning: Assessing the robustness against Data Poisoning Attacks"

4 / 4 papers shown

Title
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 28 0 0 09 May 2025
MISA: Unveiling the Vulnerabilities in Split Federated Learning Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Minghui Li Leo Yu Zhang Hai Jin 6 3 0 18 Dec 2023
Label Leakage and Protection in Two-party Split Learning Oscar Li Jiankai Sun Xin Yang Weihao Gao Hongyi Zhang Junyuan Xie Virginia Smith Chong-Jun Wang FedML 122 139 0 17 Feb 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 186 432 0 04 Mar 2020