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cs.DS2025
Practical and Accurate Local Edge Differentially Private Graph Algorithms
Pranay Mundra, Charalampos Papamanthou, Julian Shun +1
The rise of massive networks across diverse domains necessitates sophisticated graph analytics, often involving sensitive data and raising privacy concerns. This paper addresses th…
cs.DS2025
Near-Optimal Differentially Private Graph Algorithms via the Multidimensional AboveThreshold Mechanism
Laxman Dhulipala, Monika Henzinger, George Z. Li +3
Many differentially private and classical non-private graph algorithms rely crucially on determining whether some property of each vertex meets a threshold. For example, for the $k…