Locally Private Bayesian Inference for Count Models

22 Mar 2018Aaron ScheinZhiwei Steven WuAlexandra SchofieldMingyuan ZhouHanna Wallach

We present a general method for privacy-preserving Bayesian inference in Poisson factorization, a broad class of models that includes some of the most widely used models in the social sciences. Our method satisfies limited precision local privacy, a generalization of local differential privacy, which we introduce to formulate privacy guarantees appropriate for sparse count data... (read more)

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