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arXiv · 2407.00417

Obtaining $(\epsilon,\delta)$-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables

James Jackson·Robin Mitra·Brian Francis·Iain Dove
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Abstract

We show that differential privacy type guarantees can be obtained when using a Poisson synthesis mechanism to protect counts in contingency tables. Specifically, we show how to obtain $(\epsilon, \delta)$-probabilistic differential privacy guarantees via the Poisson distribution's cumulative distribution function. We demonstrate this empirically with the synthesis of an administrative-type confidential database.

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James Jackson, Robin Mitra, Brian Francis, Iain Dove. 2024-06-29. Obtaining $(\epsilon,\delta)$-differential privacy guarantees when using a Poisson mechanism to synthesize contingency tables. https://arxiv.org/abs/2407.00417

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