Tiancheng Li

Since July 2010, I work with the privacy team at Google Inc. I got my PhD degree from the Department of Computer Science at Purdue University in August 2010. More about me can be found here CV.

News

Research Interests

My research interests lie at the intersection of databases, data mining, security and privacy. My research focuses on the following topics:
  • Data privacy & security.
  • Secure database outsourcing.
  • Secure data retention for regulatory compliance.
  • Role mining for role-based access control systems.

Here is a detailed description of my research projects.

Journal Articles

  • [Paper in PDF] Slicing: A New Approach to Privacy Preserving Data Publishing
    Tiancheng Li, Ninghui Li, Jian Zhang, and Ian Molloy
    In IEEE Transaction on Knowledge and Data Engineering (TKDE), 2010.
  • [Paper in PDF] Mining Roles with Multiple Objectives
    Ian Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin Calo, and Jorge Lobo
    In ACM Transactions on Information and System Security (TISSEC), 2010.
  • [Paper in PDF] Closeness: A New Privacy Measure for Data Publishing
    Ninghui Li, Tiancheng Li, and Suresh Venkatasubramanian
    In IEEE Transaction on Knowledge and Data Engineering (TKDE), 2009.
  • [Paper in PDF] Privacy Preserving Incremental Data Dissemination
    Ji-Won Byun, Tiancheng Li, Elisa Bertino, Ninghui Li, and Yonglak Sohn
    In Journal of Computer Security (JCS), 17:(1) 43-68, 2009.
  • [Paper in PDF] Towards Optimal k-Anonymization
    Tiancheng Li and Ninghui Li
    In Data & Knowledge Engineering Journal (DKE), 65:(1) 22-39, 2008.

Conference/Workshop Papers

  • [Paper in PDF] Minimizing Minimality and Maximizing Utility: Analyzing Method-based Attacks on Anonymized Data
    Graham Cormode, Ninghui Li, Tiancheng Li, and Divesh Srivastava
    In Proceedings of the International Conference on Very Large Data Bases (VLDB), Singapore, 2010.
  • [Paper in PDF] On the (In)Security and (Im)Practicality of Outsourcing Precise Association Rule Mining
    Ian Molloy, Ninghui Li, and Tiancheng Li
    In Proceedings of the IEEE International Conference on Data Mining (ICDM), Miami, Florida, 2009.
  • [Paper in PDF] Slicing: A New Approach to Privacy Preserving Data Publishing
    Tiancheng Li, Ninghui Li, Jian Zhang, and Ian Molloy
    In Preprints arXiv:0909.2290v1 [cs.DB], 2009.
  • [Paper in PDF] WORM-SEAL: Trustworthy Data Retention and Verification for Regulatory Compliance
    Tiancheng Li, Xiaonan Ma, and Ninghui Li
    In Proceedings of the European Symposium on Research in Computer Security (ESORICS), pp. 472-488, 2009.
  • [Paper in PDF] On the Tradeoff Between Privacy and Utility in Data Publishing
    Tiancheng Li and Ninghui Li
    In Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (SIGKDD), pp. 517-526,2009.
  • [Paper in PDF] Evaluating Role Mining Algorithms
    Ian Molloy, Ninghui Li, Tiancheng Li, Ziqing Mao, Qihua Wang, and Jorge Lobo
    In Proceedings of the ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 95-104, 2009.
  • [Paper in PDF] Modeling and Integrating Background Knowledge in Data Anonymization
    Tiancheng Li, Ninghui Li, and Jian Zhang
    In Proceedings of the IEEE International Conference on Data Engineering (ICDE), pp. 6-17, 2009.
  • [Paper in PDF] Block Size Optimization in Deduplication Systems
    Cornel Constantinescu, Jan Pieper, and Tiancheng Li
    In Proceedings of the Data Compression Conference (DCC), pp. 442, 2009.
  • [Paper in PDF] Mining Roles with Semantic Meanings
    Ian Molloy, Hong Chen, Tiancheng Li, Qihua Wang, Ninghui Li, Elisa Bertino, Seraphin Carlo, and Jorge Lobo
    In Proceedings of the ACM Symposium on Access Control Models and Technologies (SACMAT), pp. 21-30, 2008.
  • [Paper in PDF] Injector: Mining Background Knowledge for Data Anonymization
    Tiancheng Li and Ninghui Li
    In Proceedings of the IEEE International Conference on Data Engineering (ICDE), pp. 446-455, 2008.
  • [Paper in PDF] t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
    Ninghui Li, Tiancheng Li, and Suresh Venkatasubramanian
    In Proceedings of the IEEE International Conference on Data Engineering (ICDE), pp. 106-115, 2007.
  • [Paper in PDF] Optimal k-Anonymity with Flexible Generalization Schemes through Bottom-Up Searching
    Tiancheng Li and Ninghui Li
    In Proceedings of the IEEE International Workshop on Privacy Aspect of Data Mining (PADM), in conjunction with ICDM, pp. 518-523, 2006.

Professional Services

  • PC member: ACM International Workshop on Security and Privacy in GIS and LBS (SPRINGL 2009, SPRINGL 2010)
  • Journal reviewer: TODS (2008), VLDB Journal (2009), TKDE (2008,2009), TKDD (2009)
  • External reviewer: SIGMOD (2007, 2008), VLDB (2008, 2009), ICDE (2008)
  • External reviewer: S&P (2007, 2008), CCS (2006, 2009), WWW (2009)

Contact Information

Tiancheng Li
1600 Amphitheatre Pkwy
Google Inc.
Mountain View, CA 94043

Email: tiancheng@google.com
Phone: (765)586-7289
Subpages (1): Projects