Efficient Anonymizations with Enhanced Utility

  title={Efficient Anonymizations with Enhanced Utility},
  author={Jacob Goldberger and Tamir Tassa},
  journal={2009 IEEE International Conference on Data Mining Workshops},
The k-anonymization method is a commonly used privacy-preserving technique. Previous studies used various measures of utility that aim at enhancing the correlation between the original public data and the generalized public data. We, bearing in mind that a primary goal in releasing the anonymized database for data mining is to deduce methods of predicting the private data from the public data, propose a new information-theoretic measure that aims at enhancing the correlation between the… CONTINUE READING
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A framework for efficient data anonymization under privacy and accuracy constraints

  • P. Karras, P. Kalnis, N. Mamoulis
  • ACM Trans . Database Syst
  • 2009

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