Conferences and Journals:
Readings for Topic 8:
- N. R. Adam and J. C. Worthmann, Security-control methods for statistical databases: a comparative study. ACM Computing Surveys, 21 (4), pp. 515-556, 1989.
- R. Agrawal, R. Srikant, and D. Thomas, Privacy Preserving OLAP, in Proceedings of the 24th ACM SIGMOD International Conference on Management of Data, 2005, pp. 251-262.
- L. Wang, D. Wijesekera, and S. Jajodia, Cardinality-based inference control in data cubes. Journal of Computer Security, 12 (5), pp. 655-692, 2004.
- L. Wang, S. Jajodia, and D. Wijesekera, Securing OLAP Data Cubes Against Privacy Breaches. in Proceedings of the 25th IEEE Symposium on Security and Privacy, 2004, pp. 161-175.
- N. Zhang, W. Zhao, J. Chen, Cardinality-based inference control in OLAP systems: an information theoretic approach. in Proceedings of the 7th ACM International Workshop on Data Warehousing and OLAP, 2004, pp. 59-64.
Readings for Topic 9:
- R. Agrawal, A. Evfimievski, and R. Srikant, Information Sharing Across Private Databases, in Proceedings of the 22nd ACM SIGMOD International Conference on Management of Data, 2003, pp. 86-97.
- N. Zhang and W. Zhao, Distributed Privacy Preserving Information Sharing, in Proceedings of the 31st International Conference on Very Large Data Bases, 2005, pp. 889-900.
- M. Kantarcioglu and C. Clifton, Privacy-preserving Distributed Mining of Association Rules on Horizontally Partitioned Data, IEEE Transactions on Knowledge and Data Engineering, 16 (9), pp. 1026-1037, 2004.
- J. Vaidya and C. Clifton, Privacy Preserving Association Rule Mining in Vertically Partitioned Data, in Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2002, pp. 639-644.
Readings for Topic 10:
- L. Sweeney. k-Anonymity: a Model for Protecting Privacy. International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), pp. 557-570, 2002.
- A. Meyerson and R. Williams. On the Complexity of Optimal k-Anonymity. in Proceedings of the 23rd ACM Symposium on Principles of Database Systems, 2004, pp. 223-228.
- G. Aggarwal, T. Feder, K. Kenthapadi, R. Motwani, R. Panigrahy, D. Thomas, and A. Zhu. Approximation Algorithms for k-Anonymity. Journal of Privacy Technology, November 2005.
- X. Xiao and Y. Tao. Anatomy: Simple and Effective Privacy Preservation. Proceedings of the 32nd International Conference on Very Large Data Bases, pp. 139-150, 2006.
- R. J. Bayardo and R. Agrawal. Data Privacy Through Optimal k-Anonymization. Proceedings of the 21st Internationl Conference on Data Engineering, 2005.
- A. Machanavajjhala, J. Gehrke, and D. Kifer. l-Diversity: Privacy Beyond k Anonymity. Proceedings of the 22st International Conference on Data Engineering, 2006.
Readings for Topic 11:
- R. Agrawal and R. Srikant. Privacy-Preserving Data Mining. Proceedings of the 19th ACM SIGMOD International Conference on Management of Data, 2000.
- A. Evfimievski, R. Srikant, R. Agrawal and J. Gehrke. Privacy Preserving Mining of Association Rules. Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery in Databases and Data Mining, 2002.
- D. Agrawal and C. C. Aggarwal. On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Proceedings of the 20th ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, 2001.
- A. Evfimievski, J. Gehrke, and R. Srikant. Limiting privacy breaches in privacy preserving data mining. Proceedings of the 22nd ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems, 2003.
- H. Kargupta, S. Datta, Q. Wang, and K. Sivakumar. On the privacy preserving properties of random data perturbation techniques. Proceedings of the 3rd IEEE International Conference on Data Mining, 2003.
- Z. Huang, W. Du, B. Chen. Deriving Private Information from Randomized Data. Proceedings of the 24th ACM SIGMOD International Conference on Management of Data, 2005.
- N. Zhang, S. Wang, W. Zhao. A New Scheme on Privacy-Preserving Data Classification. Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005.
- Z. Yang, S. Zhong and R. N. Wright. Anonymity-Preserving Data Collection. Proceedings of the 11th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2005.
|