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arXiv · 2505.05347

InfTDA: A Simple TopDown Mechanism for Hierarchical Differentially Private Counting Queries

Fabrizio Boninsegna
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Abstract

This paper extends $\texttt{InfTDA}$, a mechanism proposed in (Boninsegna, Silvestri, PETS 2025) for mobility datasets with origin and destination trips, in a general setting. The algorithm presented in this paper works for any dataset of $d$ categorical features and produces a differentially private synthetic dataset that answers all hierarchical queries, a special case of marginals, each with bounded maximum absolute error. The algorithm builds upon the TopDown mechanism developed for the 2020 US Census.

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Fabrizio Boninsegna. 2025-05-08. InfTDA: A Simple TopDown Mechanism for Hierarchical Differentially Private Counting Queries. https://arxiv.org/abs/2505.05347

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