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Exponential Randomized Response: Boosting Utility in Differentially Private Selection. (arXiv:2201.03913v2 [cs.CR] UPDATED)
Aug. 5, 2022, 1:20 a.m. | Gonzalo Munilla Garrido, Florian Matthes
cs.CR updates on arXiv.org arxiv.org
A differentially private selection algorithm outputs from a finite set the
item that approximately maximizes a data-dependent quality function. The most
widely adopted mechanisms tackling this task are the pioneering exponential
mechanism and permute-and-flip, which can offer utility improvements of up to a
factor of two over the exponential mechanism. This work introduces a new
differentially private mechanism for private selection and conducts theoretical
and empirical comparisons with the above mechanisms. For reasonably common
scenarios, our mechanism can provide utility …
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