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.CR2025
Mitigating Data Poisoning Attacks to Local Differential Privacy
Xiaolin Li, Ninghui Li, Boyang Wang +1
The distributed nature of local differential privacy (LDP) invites data poisoning attacks and poses unforeseen threats to the underlying LDP-supported applications. In this paper,…
cs.CR2025
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…