Bayesian Differential Privacy through Posterior Sampling

5 Jun 2013Christos DimitrakakisBlaine Nelsonand Zuhe ZhangAikaterini MitrokotsaBenjamin Rubinstein

Differential privacy formalises privacy-preserving mechanisms that provide access to a database. We pose the question of whether Bayesian inference itself can be used directly to provide private access to data, with no modification... (read more)

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