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ICDT
2010
ACM
172views Database» more  ICDT 2010»
15 years 11 months ago
k-jump strategy for preserving privacy in micro-data disclosure
In disclosing micro-data with sensitive attributes, the goal is usually two fold. First, the data utility of disclosed data should be maximized for analysis purposes. Second, the ...
Wen Ming Liu, Lingyu Wang, Lei Zhang
ICDE
2007
IEEE
115views Database» more  ICDE 2007»
16 years 7 months ago
Preservation Of Patterns and Input-Output Privacy
Abstract breaches. To do so, the data custodian needs to transform its data. To determine the appropriate transforPrivacy preserving data mining so far has mainly mation, there are...
Shaofeng Bu, Laks V. S. Lakshmanan, Raymond T. Ng,...
EDBT
2008
ACM
172views Database» more  EDBT 2008»
16 years 6 months ago
Distributed privacy preserving k-means clustering with additive secret sharing
Recent concerns about privacy issues motivated data mining researchers to develop methods for performing data mining while preserving the privacy of individuals. However, the curr...
Albert Levi, Erkay Savas, Mahir Can Doganay, Thoma...
KDD
2004
ACM
160views Data Mining» more  KDD 2004»
16 years 6 months ago
k-TTP: a new privacy model for large-scale distributed environments
Secure multiparty computation allows parties to jointly compute a function of their private inputs without revealing anything but the output. Theoretical results [2] provide a gen...
Bobi Gilburd, Assaf Schuster, Ran Wolff
ICDE
2005
IEEE
183views Database» more  ICDE 2005»
15 years 11 months ago
Protection of Location Privacy using Dummies for Location-based Services
Recently, highly accurate positioning devices enable us to provide various types of location-based services. On the other hand, because position data obtained by such devices incl...
Hidetoshi Kido, Yutaka Yanagisawa, Tetsuji Satoh