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» On privacy preservation against adversarial data mining
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SIGMOD
2004
ACM
101views Database» more  SIGMOD 2004»
14 years 7 months ago
State-of-the-art in privacy preserving data mining
We provide here an overview of the new and rapidly emerging research area of privacy preserving data mining. We also propose a classification hierarchy that sets the basis for ana...
Vassilios S. Verykios, Elisa Bertino, Igor Nai Fov...
ICDE
2008
IEEE
157views Database» more  ICDE 2008»
14 years 9 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
SIGKDD
2002
90views more  SIGKDD 2002»
13 years 7 months ago
Cryptographic Techniques for Privacy-Preserving Data Mining
Research in secure distributed computation, which was done as part of a larger body of research in the theory of cryptography, has achieved remarkable results. It was shown that n...
Benny Pinkas
WEBI
2009
Springer
14 years 2 months ago
Data Mining for Malicious Code Detection and Security Applications
: Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques....
Bhavani M. Thuraisingham
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 8 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...