2 papers
cs.CR2026
FISGuard: Defending Against Membership Inference via Fixed Input Subspaces
Haocheng Jiang, Hua Shen
As large language models are increasingly adopted in federated learning, protecting user privacy while performing parameter-efficient fine-tuning on distributed private data has be…
cs.CR2025
FedGuard: A Diverse-Byzantine-Robust Mechanism for Federated Learning with Major Malicious Clients
Haocheng Jiang, Hua Shen, Jixin Zhang +2
Federated learning is a distributed training framework vulnerable to Byzantine attacks, particularly when over 50% of clients are malicious or when datasets are highly non-independ…