3 papers
cs.LG2026
Adversarial Update-Based Federated Unlearning for Poisoned Model Recovery
Wenwei Zhao, Xiaowen Li, Yao Liu +1
Federated learning (FL) is vulnerable to poisoning attacks, where malicious clients upload manipulated updates to degrade the performance of the global model. Although detection me…
cs.NI2026
Hybrid Hierarchical Federated Learning over 5G/NextG Wireless Networking
Haiyun Liu, Jiahao Xue, Jie Xu +2
Today's 5G and NextG wireless networks are moving toward using the coordinated multi-point (CoMP) transmission and reception technique, where a client can be simultaneously served…
cs.CR2025
A Comprehensive Survey of Website Fingerprinting Attacks and Defenses in Tor: Advances and Open Challenges
Yuwen Cui, Guangjing Wang, Khanh Vu +7
The Tor network provides users with strong anonymity by routing their internet traffic through multiple relays. While Tor encrypts traffic and hides IP addresses, it remains vulner…