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» Randomization in Privacy-Preserving Data Mining
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SDM
2008
SIAM
135views Data Mining» more  SDM 2008»
13 years 11 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
PKDD
2007
Springer
214views Data Mining» more  PKDD 2007»
14 years 3 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
PSD
2004
Springer
186views Database» more  PSD 2004»
14 years 3 months ago
Privacy Preserving and Data Mining in an On-Line Statistical Database of Additive Type
In an on-line statistical database, the query-answering system should prevent answers to statistical queries from leading to disclosure of confidential data. On the other hand, a s...
Francesco M. Malvestuto, Mauro Mezzini
KDD
2007
ACM
191views Data Mining» more  KDD 2007»
14 years 10 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...
MDM
2007
Springer
122views Communications» more  MDM 2007»
14 years 4 months ago
Privacy-Preserving Data Mining on Moving Object Trajectories
Gyözö Gidófalvi, Xuegang Huang, T...