A Privacy Preserving Algorithm to Release Sparse High-dimensional Histograms

Differential privacy has emerged as a popular model to provably limit privacy risks associated with a given data release. However releasing high dimensional synthetic data under differential privacy remains a challenging problem. In this paper, we study the problem of releasing synthetic data in the...

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Main Authors: Bai Li, Vishesh Karwa, Aleksandra Slavković, Rebecca Carter Steorts
Formato: Artigo
Idioma:Inglês
Publicado em: Labor Dynamics Institute 2018-12-01
Colecção:The Journal of Privacy and Confidentiality
Assuntos:
differential privacy
high dimensional sparse histograms
stability based algorithm
perturbed Gibbs sampler
Stability Based Hashed Gibbs Sampler
Acesso em linha:https://journalprivacyconfidentiality.org/index.php/jpc/article/view/657
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