Zhiqiang Yang

Ph.D. Candidate
Computer Science Department
Stevens Institute of Technology

Biographical Infomation

I received BS  in Computer Science Department from Tianjin University, China in 2001 and MS in Computer Science Department from Stevens Institute of Technology in 2003.

Currently, I am a Ph.D. candidate in the Computer Science Department at Stevens Institute of Technology and working with Professor  Rebecca  N. Wright. I am a member of the Laboratory for Secure Systems in Stevens Institute of Technology and a member of PORTIA project.

Research Interests

My research interests lie in information security in the areas of data mining and databases, with specific focus on privacy-preserving data mining, secure information sharing, applied cryptography, and database security.

Publications

  1. Guided Perturbation: Towards Private and Accurate Mining, Sheng Zhong and Zhiqiang Yang. VLDB Journal (accepted), 2007.

  2. 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%.

  3. 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.

  4. 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.

  5. 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.

  6. 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%.

  7. 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%.

  8. 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%.

  9. 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%.

  10. 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%.

  11. 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 12/1/2006 by Zhiqiang Yang.