Differentially private distributed logistic regression using private and public data

BACKGROUND: Privacy protecting is an important issue in medical informatics and differential privacy is a state-of-the-art framework for data privacy research. Differential privacy offers provable privacy against attackers who have auxiliary information, and can be applied to data mining models (for...

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Detalles Bibliográficos
Autores principales: Ji, Zhanglong, Jiang, Xiaoqian, Wang, Shuang, Xiong, Li, Ohno-Machado, Lucila
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101668/
https://www.ncbi.nlm.nih.gov/pubmed/25079786
http://dx.doi.org/10.1186/1755-8794-7-S1-S14

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4101668/
https://www.ncbi.nlm.nih.gov/pubmed/25079786
http://dx.doi.org/10.1186/1755-8794-7-S1-S14

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