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Differentially Private Synthesization of Multi-Dimensional Data using Copula Functions

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Most of the existing techniques that generate differentially private histograms or synthetic data only work well for single dimensional or low-dimensional histograms. They become...

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Detalhes bibliográficos
Publicado no:Adv Database Technol
Main Authors: Li, Haoran, Xiong, Li, Jiang, Xiaoqian
Formato: Artigo
Idioma:Inglês
Publicado em: 2014
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC4232968/
https://ncbi.nlm.nih.gov/pubmed/25405241
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.5441/002/edbt.2014.43
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