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» Detecting Privacy and Ethical Sensitivity in Data Mining Res...
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ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 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
72
Voted
ICDM
2009
IEEE
143views Data Mining» more  ICDM 2009»
15 years 4 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...
ISI
2007
Springer
15 years 4 months ago
DOTS: Detection of Off-Topic Search via Result Clustering
— Often document dissemination is limited to a “need to know” basis so as to better maintain organizational trade secrets. Retrieving documents that are off-topic to a user...
Nazli Goharian, Alana Platt
WPES
2003
ACM
15 years 3 months ago
Analysis of privacy preserving random perturbation techniques: further explorations
Privacy is becoming an increasingly important issue in many data mining applications, particularly in the security and defense area. This has triggered the development of many pri...
Haimonti Dutta, Hillol Kargupta, Souptik Datta, Kr...
ICDE
2009
IEEE
132views Database» more  ICDE 2009»
15 years 11 months ago
Using Anonymized Data for Classification
In recent years, anonymization methods have emerged as an important tool to preserve individual privacy when releasing privacy sensitive data sets. This interest in anonymization t...
Ali Inan, Murat Kantarcioglu, Elisa Bertino