View Document Preview and Link Document Date: 2008-12-09 20:12:49 Open Document File Size: 406,15 KB Share Result on Facebook
City Las Vegas / Asuncion / / Company D. N. A. / Brodsky / Database Systems / Decentralized Systems / / Country United States / / Currency USD / / / Facility Computer Sciences The University of Texas / / IndustryTerm k-anonymization algorithm / data-mining utility / Approximate algorithms / machine learning algorithms / Privacy-preserving data mining / actual data-mining utility / microdata sanitization algorithms / data-mining applications / privacy protection algorithms / suppression algorithm / data-mining accuracy / data mining / classification algorithms / data-mining algorithms / data-mining tasks / sanitization algorithm / / NaturalFeature Random Forests / / Organization Database Administration / University of Texas at Austin / / Person Vitaly Shmatikov / / Position Accuracy Gain Accuracy Gain Researcher / enhanced k-anonymity model for privacy-preserving data publishing / model for protecting privacy / researcher / representative / sensitive attribute S. The researcher / General / / ProvinceOrState Nevada / / Technology Adam / machine learning algorithms / microdata sanitization algorithms / Weaving technology / privacy protection algorithms / data-mining algorithms / existing algorithms / k-anonymization algorithm / classification algorithms / data mining / suppression algorithm / machine learning / sanitization algorithm / / SocialTag 
The Cost of Privacy: Destruction of Data-Mining Utility in Anonymized Data Publishing Justin Brickell and Vitaly Shmatikov Department of Computer Sciences The University of Texas at Austin