2 papers
cs.CR2026
Noise Reduction for Pufferfish Privacy: A Practical Noise Calibration Method
Wenjin Yang, Ni Ding, Zijian Zhang +8
This paper introduces a relaxed noise calibration method to enhance data utility while attaining pufferfish privacy. This work builds on the existing -Wasserstein (Kantorovich)…
cs.CR2025
EByFTVeS: Efficient Byzantine Fault Tolerant-based Verifiable Secret-sharing in Distributed Privacy-preserving Machine Learning
Zhen Li, Zijian Zhang, Wenjin Yang +5
Verifiable Secret Sharing (VSS) has been widespread in Distributed Privacy-preserving Machine Learning (DPML), because invalid shares from malicious dealers or participants can be…