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cs.DS2026
Lower Bounds for Private Graph Optimization Problems using Reconstruction Attacks
Jacob Imola, Rasmus Pagh, Lukas Retschmeier
This paper studies fundamental graph optimization problems under differential privacy (DP) and shows new, reconstruction-based lower bounds. We consider a graph $G = (V, E, \vec{w}…
cs.DS2025
Differentially Private Quantiles with Smaller Error
Jacob Imola, Fabrizio Boninsegna, Hannah Keller +3
In the approximate quantiles problem, the goal is to output quantile estimates, the ranks of which are as close as possible to given quantiles $0 \leq q_1 \leq\dots \leq q_…