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ICDM
2010
IEEE
150views Data Mining» more  ICDM 2010»
13 years 5 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...
MOBIQUITOUS
2007
IEEE
14 years 1 months ago
Anonymous Data Collection in Sensor Networks
—Sensor networks involving human participants will require privacy protection before wide deployment is feasible. This paper proposes and evaluates a set of protocols that enable...
James Horey, Michael M. Groat, Stephanie Forrest, ...
VLDB
2007
ACM
137views Database» more  VLDB 2007»
14 years 7 months ago
Fast Data Anonymization with Low Information Loss
Recent research studied the problem of publishing microdata without revealing sensitive information, leading to the privacy preserving paradigms of k-anonymity and -diversity. k-a...
Gabriel Ghinita, Panagiotis Karras, Panos Kalnis, ...
GFKL
2006
Springer
139views Data Mining» more  GFKL 2006»
13 years 11 months ago
Attribute Aware Anonymous Recommender Systems
Manuel Stritt, Karen H. L. Tso, Lars Schmidt-Thiem...
SDM
2007
SIAM
195views Data Mining» more  SDM 2007»
13 years 9 months ago
On Anonymization of String Data
String data is especially important in the privacy preserving data mining domain because most DNA and biological data is coded as strings. In this paper, we will discuss a new met...
Charu C. Aggarwal, Philip S. Yu