503 search results - page 15 / 101 » Output privacy in data mining |
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
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 ...
169
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ICDE
2008
IEEE
15 years 11 months ago
2008
IEEE
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...
KDD
2007
ACM
15 years 10 months ago
2007
ACM
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...
117
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PKDD
2007
Springer
15 years 4 months ago
2007
Springer
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 ...
SDM
2008
SIAM
14 years 11 months ago
2008
SIAM
In this paper we explore private computation built on vector addition and its applications in privacypreserving data mining. Vector addition is a surprisingly general tool for imp...