137 search results - page 1 / 28 » Preserving Privacy through Data Generation |
85
Voted
ICDM
2007
IEEE
15 years 1 months ago
2007
IEEE
Many databases will not or can not be disclosed without strong guarantees that no sensitive information can be extracted. To address this concern several data perturbation techniq...
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...
109
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TRUSTBUS
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. Synthetic data plays an important role in software testing. In this paper, we initiate the study of synthetic data generation models for the purpose of application softwa...
107
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TSMC
2011
14 years 4 months ago
2011
— Consider a scenario in which the data owner has some private/sensitive data and wants a data miner to access it for studying important patterns without revealing the sensitive ...
162
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ICDE
2007
IEEE
15 years 10 months ago
2007
IEEE
We address the problem of preserving privacy in streams, which has received surprisingly limited attention. For static data, a well-studied and widely used approach is based on ra...