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cs.CR2025
Verifiable Exponential Mechanism for Median Estimation
Hyukjun Kwon, Chenglin Fan
Differential Privacy (DP) is a rigorous privacy standard widely adopted in data analysis and machine learning. However, its guarantees rely on correctly introducing randomized nois…
cs.CR2024
Differentially Private Algorithms for Graph Cuts: A Shifting Mechanism Approach and More
Rishi Chandra, Michael Dinitz, Chenglin Fan +1
In this paper, we address the challenge of differential privacy in the context of graph cuts, specifically focusing on the multiway cut and the minimum -cut. We introduce edge-d…