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» Distributed Data Mining Protocols for Privacy: A Review of S...
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EDBTW
2010
Springer
14 years 3 months ago
A practice-oriented framework for measuring privacy and utility in data sanitization systems
Published data is prone to privacy attacks. Sanitization methods aim to prevent these attacks while maintaining usefulness of the data for legitimate users. Quantifying the trade-...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
ICDE
2006
IEEE
176views Database» more  ICDE 2006»
14 years 2 months ago
Deriving Private Information from Perturbed Data Using IQR Based Approach
Several randomized techniques have been proposed for privacy preserving data mining of continuous data. These approaches generally attempt to hide the sensitive data by randomly m...
Songtao Guo, Xintao Wu, Yingjiu Li
ICDE
2007
IEEE
123views Database» more  ICDE 2007»
14 years 2 months ago
Privacy Preserving Pattern Discovery in Distributed Time Series
The search for unknown frequent pattern is one of the core activities in many time series data mining processes. In this paper we present an extension of the pattern discovery pro...
Josenildo Costa da Silva, Matthias Klusch
WPES
2003
ACM
14 years 1 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
14 years 10 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino