Cargando…
Identifying inference attacks against healthcare data repositories
Health care data repositories play an important role in driving progress in medical research. Finding new pathways to discovery requires having adequate data and relevant analysis. However, it is critical to ensure the privacy and security of the stored data. In this paper, we identify a dangerous i...
Autores principales: | Vaidya, Jaideep, Shafiq, Basit, Jiang, Xiaoqian, Ohno-Machado, Lucila |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Informatics Association
201
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3845790/ https://www.ncbi.nlm.nih.gov/pubmed/24303279 |
Ejemplares similares
-
Towards large-scale sample annotation in gene expression repositories
por: Pitzer, Erik, et al.
Publicado: (2009) -
Grid Binary LOgistic REgression (GLORE): building shared models without sharing data
por: Wu, Yuan, et al.
Publicado: (2012) -
Differentially private distributed logistic regression using private and public data
por: Ji, Zhanglong, et al.
Publicado: (2014) -
Smooth Isotonic Regression: A New Method to Calibrate Predictive Models
por: Jiang, Xiaoqian, et al.
Publicado: (2011) -
I-spline Smoothing for Calibrating Predictive Models
por: Wu, Yuan, et al.
Publicado: (2012)