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» Optimal randomization for privacy preserving data mining
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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
KDD
2002
ACM
157views Data Mining» more  KDD 2002»
14 years 8 months ago
Transforming data to satisfy privacy constraints
Data on individuals and entities are being collected widely. These data can contain information that explicitly identifies the individual (e.g., social security number). Data can ...
Vijay S. Iyengar
SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 9 months ago
Preemptive Measures against Malicious Party in Privacy-Preserving Data Mining
Currently, many privacy-preserving data mining (PPDM) algorithms assume the semi-honest model and/or malicious model of multi-party interaction. However, both models are far from ...
Shuguo Han, Wee Keong Ng
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...
PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
14 years 1 months ago
Multi-party, Privacy-Preserving Distributed Data Mining Using a Game Theoretic Framework
Abstract. Analysis of privacy-sensitive data in a multi-party environment often assumes that the parties are well-behaved and they abide by the protocols. Parties compute whatever ...
Hillol Kargupta, Kamalika Das, Kun Liu