Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values

Differentially private release of medical microdata: an efficient and practical approach for preserving informative attribute values

Abstract Background Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge. Although differential privacy overcomes this limitation, it is specialized...

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Bibliographic Details
Main Authors: Hyukki Lee, Yon Dohn Chung
Format: Article
Language:English
Published: BMC 2020-07-01
Series:BMC Medical Informatics and Decision Making
Subjects:
Medical privacy
Data release
Data anonymization
Differential privacy
Privacy-preserving data publishing
Online Access:http://link.springer.com/article/10.1186/s12911-020-01171-5

Internet

http://link.springer.com/article/10.1186/s12911-020-01171-5

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