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Differentially private density estimation with skew-normal mixtures model

The protection of private data is a hot research issue in the era of big data. Differential privacy is a strong privacy guarantees in data analysis. In this paper, we propose DP-MSNM, a parametric density estimation algorithm using multivariate skew-normal mixtures (MSNM) model to differential priva...

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Detalles Bibliográficos
Autor principal:	Wu, Weisan
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Nature Publishing Group UK 2021
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8155126/ https://www.ncbi.nlm.nih.gov/pubmed/34040031 http://dx.doi.org/10.1038/s41598-021-90276-6

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