Obtaining \((\epsilon ,\delta )\) -Differential Privacy Guarantees When Using a Poisson Mechanism to Synthesize Contingency Tables
摘要
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.