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Poster

Privately Counting Partially Ordered Data

Matthew Joseph · Mónica Ribero · Alexander Yu

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2025 Poster

Abstract: We consider differentially private counting when each data point consists of $d$ bits satisfying a partial order. Our main technical contribution is a problem-specific $K$-norm mechanism that runs in time $O(d^2)$. Experiments show that, depending on the partial order in question, our solution dominates existing pure differentially private mechanisms and can reduce their error by an order of magnitude or more.

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