2 citations · 2 across the 2 of their papers we have counts for
3 papers
cs.LG2026
Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning
Xiaolin Li, Ning Wang, Ninghui Li +1
Prior research suggests that differential privacy (DP) inherently enhances the robustness of federated learning (FL) against backdoor attacks. In this paper, we challenge this assu…
cs.CR2024
On the Robustness of LDP Protocols for Numerical Attributes under Data Poisoning Attacks
Xiaoguang Li, Zitao Li, Ninghui Li +1
Recent studies reveal that local differential privacy (LDP) protocols are vulnerable to data poisoning attacks where an attacker can manipulate the final estimate on the server by…
cs.CR2023★ 2 cited
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning Attacks
Haonan Yan, Wenjing Zhang, Qian Chen +4
Model poisoning attacks greatly jeopardize the application of federated learning (FL). The effectiveness of existing defenses is susceptible to the latest model poisoning attacks,…