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Data publishing generate much attention over the protection of individual privacy. In this paper, the authors show that it is necessary to reduce the steps of generalization in order to minimize information loss in privacy preserving data publishing, but sometimes the anonymous table on basis of the method could still be attacked when an attacker can possibly determine the privacy requirement and anonymous operations by examining the published data, or its documentation, and learn the mechanism of the anonymous algorithm.
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