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» Versatile publishing for privacy preservation
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TCC
2005
Springer
102views Cryptology» more  TCC 2005»
15 years 3 months ago
Toward Privacy in Public Databases
Abstract. We initiate a theoretical study of the census problem. Informally, in a census individual respondents give private information to a trusted party (the census bureau), who...
Shuchi Chawla, Cynthia Dwork, Frank McSherry, Adam...
97
Voted
NDSS
2008
IEEE
15 years 3 months ago
Analyzing Privacy in Enterprise Packet Trace Anonymization
Accurate network measurement through trace collection is critical for advancing network design and for maintaining secure, reliable networks. Unfortunately, the release of network...
Bruno F. Ribeiro, Weifeng Chen, Gerome Miklau, Don...
VLDB
2006
ACM
122views Database» more  VLDB 2006»
15 years 9 months ago
A secure distributed framework for achieving k-anonymity
k-anonymity provides a measure of privacy protection by preventing re-identification of data to fewer than a group of k data items. While algorithms exist for producing k-anonymous...
Wei Jiang, Chris Clifton
ICDE
2012
IEEE
221views Database» more  ICDE 2012»
12 years 12 months ago
DPCube: Releasing Differentially Private Data Cubes for Health Information
—We demonstrate DPCube, a component in our Health Information DE-identification (HIDE) framework, for releasing differentially private data cubes (or multi-dimensional histogram...
Yonghui Xiao, James J. Gardner, Li Xiong
ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
14 years 7 months ago
Probabilistic Inference Protection on Anonymized Data
Background knowledge is an important factor in privacy preserving data publishing. Probabilistic distributionbased background knowledge is a powerful kind of background knowledge w...
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, Y...