9 citations · 9 across the 5 of their papers we have counts for
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cs.CR2026
Revisiting Continuous Noise Sampling for Multi-Party Differential Privacy
Yucheng Fu, Tianhao Wang
Combining secure multi-party computation (MPC) with differential privacy (DP) enables multiple parties to release aggregate statistics without a trusted curator, and the core primi…
cs.CR2024★ 9 cited
Benchmarking Secure Sampling Protocols for Differential Privacy
Yucheng Fu, Tianhao Wang
Differential privacy (DP) is widely employed to provide privacy protection for individuals by limiting information leakage from the aggregated data. Two well-known models of DP are…