Publications
-
Guided Perturbation: Towards Private and Accurate Mining,
Sheng Zhong and Zhiqiang Yang.
VLDB Journal ,
2008.
-
Towards Privacy-Preserving Model Selection,
Zhiqiang Yang, Sheng Zhong, and Rebecca Wright.
Proceedings of the First ACM SIGKDD International Workshop on Privacy, Security, and Trust in KDD (PinKDD'07),
2007.
Privacy-Preserving Queries on Encrypted Data,
Zhiqiang Yang, Sheng Zhong, and Rebecca N. Wright. In Proceedings of
the 11th European Symposium on Research in Computer Security (ESORICS),
2006. Acceptance Ratio 20%.
-
Privacy-Preserving
Bayesian Network Computation on Vertically
Partitioned Data, Zhiqiang Yang and Rebecca N. Wright. IEEE
Transactions on Knowledge and Data Engineering, Vol. 18, No. 9, 2006.
-
Experimental Analysis of a
Privacy-Preserving Scalar Product
Protocol, Zhiqiang Yang and Rebecca N. Wright. International
Journal of Computer Systems Science and Engineering, Vol. 21, No. 1, 2006.
Distributed Data Mining
Protocols for Privacy: A Review of Some Recent Results Rebecca N. Wright,
Zhiqiang Yang, and Sheng Zhong. In MADNES 2005, Proceedings of the 2005 Conference
on Mobile Ad-Hoc Networks and Sensors, 2006. -
Anonymity-Preserving Data
Collection,
Zhiqiang Yang, Sheng Zhong
and Rebecca N. Wright. Proceedings of the 11th ACM SIGKDD
International Conference on Knowledge Discovery and Data Mining (KDD),
2005, pp. 334-343. Acceptance rate 12%.
-
Privacy-Enhancing
k-Anonymization of
Customer Data, Sheng Zhong,
Zhiqiang Yang, and Rebecca N. Wright. Proceedings of the 24th ACM
Symposium on Principles of Database Systems (PODS), 2005, pp.
139-147. Acceptance rate 20%.
-
Privacy-Preserving
Classification
of
Customer Data without Loss
of Accuracy, Zhiqiang Yang, Sheng Zhong and Rebecca N. Wright. Proceedings
of the 2005 SIAM International Conference on Data Mining (SDM),
2005, pp. 92-102. Acceptance rate 18%.
-
Improved Privacy-Preserving
Bayesian
Network Parameter Learning
on Vertically Partitioned Data, Zhiqiang Yang and Rebecca N.
Wright. Proceedings
of the ICDE International Workshop on Privacy Data Management, pp.
43-52, 2005. Acceptance rate 27%.
-
Privacy-Preserving Bayesian
Network
Structure Computation on
Distributed Heterogeneous Data, Rebecca N. Wright and Zhiqiang
Yang, Proceedings
of the 10th ACM SIGKDD International Conference on Knowledge Discovery
and Data Mining (KDD), 2004, pp. 713-718. Short Paper: Acceptance
rate 25%.
-
Experimental Analysis
of
Privacy-Preserving Statistics
Computation, H. Subramaniam, Rebecca N. Wright and Zhiqiang Yang. Proceedings
of the VLDB Workshop on Secure Data Management, LNCS 3178,
Springer, 2004, pp. 55-66. Acceptance rate 54%.
Last updated 11/1/2008 by Zhiqiang Yang.
|