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ICDM
2009
IEEE
143views Data Mining» more  ICDM 2009»
14 years 1 months ago
An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners
Abstract—Data sanitization has been used to restrict reidentification of individuals and disclosure of sensitive information from published data. We propose an attack on the pri...
Michal Sramka, Reihaneh Safavi-Naini, Jörg De...
SP
2008
IEEE
176views Security Privacy» more  SP 2008»
14 years 1 months ago
Casting out Demons: Sanitizing Training Data for Anomaly Sensors
The efficacy of Anomaly Detection (AD) sensors depends heavily on the quality of the data used to train them. Artificial or contrived training data may not provide a realistic v...
Gabriela F. Cretu, Angelos Stavrou, Michael E. Loc...
ICDE
2008
IEEE
154views Database» more  ICDE 2008»
14 years 8 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
TSMC
2011
228views more  TSMC 2011»
13 years 1 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...