The work introduces edge-DP algorithms that privatize sufficient statistics for power-law exponent estimation in graphs, enabling both centralized and local models with evaluations across privacy budgets and datasets.
N2E: A General Framework to Reduce Node- Differential Privacy to Edge-Differential Privacy for Graph Analytics.Proceedings of the ACM on Management of Data, 3(6), December 2025
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Estimating Power-Law Exponent with Edge Differential Privacy
The work introduces edge-DP algorithms that privatize sufficient statistics for power-law exponent estimation in graphs, enabling both centralized and local models with evaluations across privacy budgets and datasets.