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» From Data Privacy to Location Privacy: Models and Algorithms
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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 1 months ago
Preserving Privacy through Data Generation
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
ERSHOV
2006
Springer
15 years 1 months ago
A Formal Model of Data Privacy
Information systems support data privacy by constraining user's access to public views and thereby hiding the non-public underlying data. The privacy problem is to prove that ...
Phiniki Stouppa, Thomas Studer
SIGMOD
2010
ACM
243views Database» more  SIGMOD 2010»
14 years 9 months ago
Non-homogeneous generalization in privacy preserving data publishing
Most previous research on privacy-preserving data publishing, based on the k-anonymity model, has followed the simplistic approach of homogeneously giving the same generalized val...
Wai Kit Wong, Nikos Mamoulis, David Wai-Lok Cheung
JAMIA
2011
140views more  JAMIA 2011»
14 years 12 days ago
Never too old for anonymity: a statistical standard for demographic data sharing via the HIPAA Privacy Rule
Objective Healthcare organizations must de-identify patient records before sharing data. Many organizations rely on the Safe Harbor Standard of the HIPAAPrivacy Rule, which enumer...
Bradley Malin, Kathleen Benitez, Daniel R. Masys
93
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PET
2010
Springer
14 years 11 months ago
Achieving Efficient Query Privacy for Location Based Services
Mobile smartphone users frequently need to search for nearby points of interest from a location based service, but in a way that preserves the privacy of the users' locations...
Femi G. Olumofin, Piotr K. Tysowski, Ian Goldberg,...