Showing cs.CRShow all
2 papers · 1 filter
cs.CR2025
PPFPL: Cross-silo Privacy-preserving Federated Prototype Learning Against Data Poisoning Attacks
Hongliang Zhang, Jiguo Yu, Fenghua Xu +5
Privacy-Preserving Federated Learning (PPFL) enables multiple clients to collaboratively train models by submitting secreted model updates. Nonetheless, PPFL is vulnerable to data…
cs.CR2025
Differentially Private Distance Query with Asymmetric Noise
Weihong Sheng, Jiajun Chen, Chunqiang Hu +3
With the growth of online social services, social information graphs are becoming increasingly complex. Privacy issues related to analyzing or publishing on social graphs are also…