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» Privacy in Data Mining Using Formal Methods
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KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 5 months ago
Privacy-Preserving Data Mining through Knowledge Model Sharing
Privacy-preserving data mining (PPDM) is an important topic to both industry and academia. In general there are two approaches to tackling PPDM, one is statistics-based and the oth...
Patrick Sharkey, Hongwei Tian, Weining Zhang, Shou...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 6 months ago
OptRR: Optimizing Randomized Response Schemes for Privacy-Preserving Data Mining
The randomized response (RR) technique is a promising technique to disguise private categorical data in Privacy-Preserving Data Mining (PPDM). Although a number of RR-based methods...
Zhengli Huang, Wenliang Du
KDD
2008
ACM
143views Data Mining» more  KDD 2008»
14 years 5 months ago
Detecting privacy leaks using corpus-based association rules
Richard Chow, Philippe Golle, Jessica Staddon
ISI
2005
Springer
13 years 11 months ago
Data Distortion for Privacy Protection in a Terrorist Analysis System
Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data miningbased terrorist analysis systems. We propose a spars...
Shuting Xu, Jun Zhang, Dianwei Han, Jie Wang
EDBTW
2010
Springer
14 years 8 days 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...