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109
Voted
EDBT
2009
ACM
122views Database» more  EDBT 2009»
15 years 7 months ago
Hiding distinguished ones into crowd: privacy-preserving publishing data with outliers
Publishing microdata raises concerns of individual privacy. When there exist outlier records in the microdata, the distinguishability of the outliers enables their privacy to be e...
Hui (Wendy) Wang, Ruilin Liu
ICDM
2009
IEEE
124views Data Mining» more  ICDM 2009»
15 years 9 days ago
A Practical Differentially Private Random Decision Tree Classifier
In this paper, we study the problem of constructing private classifiers using decision trees, within the framework of differential privacy. We first construct privacy-preserving ID...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
118
Voted
KDD
2003
ACM
114views Data Mining» more  KDD 2003»
16 years 3 months ago
Information awareness: a prospective technical assessment
Recent proposals to apply data mining systems to problems in law enforcement, national security, and fraud detection have attracted both media attention and technical critiques of...
David Jensen, Matthew J. Rattigan, Hannah Blau
186
Voted
VLDB
2007
ACM
137views Database» more  VLDB 2007»
16 years 2 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, ...
ICDE
2010
IEEE
184views Database» more  ICDE 2010»
15 years 6 months ago
On optimal anonymization for l+-diversity
-- Publishing person specific data while protecting privacy is an important problem. Existing algorithms that enforce the privacy principle called l-diversity are heuristic based d...
Junqiang Liu, Ke Wang