On Differentially Private Counting on Trees
December 22, 2022 Β· Declared Dead Β· π International Colloquium on Automata, Languages and Programming
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Authors
Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Kewen Wu
arXiv ID
2212.11967
Category
cs.DS: Data Structures & Algorithms
Cross-listed
cs.CR
Citations
9
Venue
International Colloquium on Automata, Languages and Programming
Last Checked
4 months ago
Abstract
We study the problem of performing counting queries at different levels in hierarchical structures while preserving individuals' privacy. Motivated by applications, we propose a new error measure for this problem by considering a combination of multiplicative and additive approximation to the query results. We examine known mechanisms in differential privacy (DP) and prove their optimality, under this measure, in the pure-DP setting. In the approximate-DP setting, we design new algorithms achieving significant improvements over known ones.
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