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» Preservation Of Patterns and Input-Output Privacy
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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
14 years 1 months ago
Preserving Privacy through Data Generation
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...
Jilles Vreeken, Matthijs van Leeuwen, Arno Siebes
TSMC
2011
228views more  TSMC 2011»
13 years 4 months ago
Privacy-Preserving Outlier Detection Through Random Nonlinear Data Distortion
— 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 ...
Kanishka Bhaduri, Mark D. Stefanski, Ashok N. Sriv...
EWSN
2010
Springer
14 years 6 months ago
Privacy-Preserving Reconstruction of Multidimensional Data Maps in Vehicular Participatory Sensing
The proliferation of sensors in devices of frequent use, such as mobile phones, offers unprecedented opportunities for forming selfselected communities around shared sensory data ...
Nam Pham, Raghu K. Ganti, Yusuf S. Uddin, Suman Na...
CIKM
2005
Springer
14 years 3 months ago
Privacy leakage in multi-relational databases via pattern based semi-supervised learning
In multi-relational databases, a view, which is a context- and content-dependent subset of one or more tables (or other views), is often used to preserve privacy by hiding sensiti...
Hui Xiong, Michael Steinbach, Vipin Kumar
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
14 years 11 months ago
Butterfly: Protecting Output Privacy in Stream Mining
Abstract-- Privacy preservation in data mining demands protecting both input and output privacy. The former refers to sanitizing the raw data itself before performing mining. The l...
Ting Wang, Ling Liu