2 papers
cs.CR2025
Sybil-based Virtual Data Poisoning Attacks in Federated Learning
Changxun Zhu, Qilong Wu, Lingjuan Lyu +1
Federated learning is vulnerable to poisoning attacks by malicious adversaries. Existing methods often involve high costs to achieve effective attacks. To address this challenge, w…
cs.LG2022
Global Update Guided Federated Learning
Qilong Wu, Lin Liu, Shibei Xue
Federated learning protects data privacy and security by exchanging models instead of data. However, unbalanced data distributions among participating clients compromise the accura…