PinKDD'07: privacy, security, and trust in KDD post-workshop report

ABSTRACT

In this report, we summarize the events of the First International Workshop on Privacy, Security, and Trust in KDD (PinKDD), which was held in conjunction with the 13^th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. The workshop convened on August 12, 2007 in San Jose, California and brought together researchers, as well as practitioners, working on how privacy, security, and trust can be resolved or modeled within a data mining framework.

REFERENCES

• 1: W. Ahmad and A. Khokhar. Phoenix: Privacy preserving biclustering on horizontally partitioned data amid malicious adversaries. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 2: M. Barbaro and T. Zeller. A face is exposed for aol searcher no. 4417749. New York Times, August 9, 2006.
• 3: R. Chaytor. A better problem representation for k-anonymity. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 4: European Union. Directive 2006/24/ec of the european parliament and of the council of 15 march 2006. Official Journal of the European Union, L 105, 54, April 13, 2006.
• 5: S. Hansell:. Aol removes search data on group of web users. New York Times, August 8, 2006.
• 6: S. Lodha and D. Thomas. Probabilistic anonymity. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 7: B. Poblete, M. Spiliopoulou, and R. Baeza-Yates. Website privacy preservation for query log publishing. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 8: P. Sharkey, H. Tian, W. Zhang, and S. Xu. Privacy-preserving data mining through knowledge model sharing. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 9: V. Tan and S.-K. Ng. Privacy-preserving sharing of horizontally-distributed private data for constructing accurate classifiers. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 10: Z. Yang, S. Zhong, and R. Wright. Towards privacy preserving model selection. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.
• 11: E. Zheleva and L. Getoor. Preserving the privacy of sensitive relationships in graph data. In Proceedings of the First International Workshop on on Privacy, Security, and Trust in KDD (PinKDD'07), San Jose, California, August 2007.

INDEX TERMS

Primary Classification:
  H. Information Systems
  H.2 DATABASE MANAGEMENT
      H.2.8 Database applications
          Subjects: Data mining

Additional Classification:
  A. General Literature
  A.1 INTRODUCTORY AND SURVEY

  K. Computing Milieux
  K.4 COMPUTERS AND SOCIETY
      K.4.1 Public Policy Issues
          Subjects: Privacy