An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners

@article{Sramka2009AnAO,
  title={An Attack on the Privacy of Sanitized Data that Fuses the Outputs of Multiple Data Miners},
  author={Michal Sramka and Reihaneh Safavi-Naini and J{\"o}rg Denzinger},
  journal={2009 IEEE International Conference on Data Mining Workshops},
  year={2009},
  pages={130-137}
}
Data sanitization has been used to restrict re-identification of individuals and disclosure of sensitive information from published data. We propose an attack on the privacy of the published sanitized data that simply fuses outputs of multiple data miners that are applied to the sanitized data. That attack is practical and does not require any background or additional information. We use a number of experiments to show scenarios where an adversary can combine outputs of multiple miners using a… CONTINUE READING
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UCI Machine Learning Repository

  • A. Asuncion, D. J. Newman
  • 2007. [Online]. Available: http://www.ics.uci.edu…
  • 2007
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