503 search results - page 15 / 101 » Output privacy in data mining |
SDM
2008
SIAM
15 years 1 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 ...
191
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ICDE
2008
IEEE
16 years 1 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
16 years 5 days 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...
131
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PKDD
2007
Springer
15 years 5 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 ...
106
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SDM
2008
SIAM
15 years 1 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...