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<record>
  <title>From K-Anonymity to Differential Privacy Back to K-Anonymity!</title>
  <journal>Journal of Information Security Research</journal>
  <author>Ddeel ANJUM, Guillame Raschia, Marc Gelgon</author>
  <volume>5</volume>
  <issue>4</issue>
  <year>2014</year>
  <doi></doi>
  <url></url>
  <abstract>In this paper, we address the K-anonymity issue. For preserving privacy in data publishing, K-anonymity algorithms and semantic privacy models have potential. We proved this fact with adequate discussions and illustrations. We
hope to document further the K-anonymity issue in the forthcoming research. </abstract>
</record>
