DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing

Differential privacy has recently emerged in private statistical data release as one of the strongest privacy guarantees. Releasing synthetic data that mimic original data with Differential privacy provides a promising way for privacy preserving data sharing and analytics while providing a rigorous...

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Detalles Bibliográficos
Autores principales: Li, Haoran, Xiong, Li, Zhang, Lifan, Jiang, Xiaoqian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2014
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496798/
https://www.ncbi.nlm.nih.gov/pubmed/26167358
http://dx.doi.org/10.14778/2733004.2733059

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4496798/
https://www.ncbi.nlm.nih.gov/pubmed/26167358
http://dx.doi.org/10.14778/2733004.2733059

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