Bing-Rong Lin

I am a Ph.D. candidate at Machine Learning Lab of Computer Science & Engineering at PSU. I am incredibly fortunate to have Dan Kifer as my advisor. My research interests include data privacy, machine learning and networking.
I am an intelligent, fun and easygoing human being who happens to enjoy coding. In the past five years, I have worked on data privacy, private data analysis and query price. My research results are published at top conference including VLDB, SIGMOD and PODS. I worked on theory as well as on applications. The theory serves as justification of design principles of solutions to practical problems. In this way, our solutions outperform state-of-the-art approaches. Beside research, I enjoy snowboarding, skating, hockey, hiking and swimming.

  • Publications
  • Patents
  • Contact Info

  • Publications

  • Bing-Rong Lin and Daniel Kifer. On Arbitrage-free Pricing for General Data Queries. VLDB 2014 (to appear).
  • Bing-Rong Lin and Daniel Kifer. Geometry of Privacy and Utility. IEEE GlobalSIP Symposium on Cyber-Security and Privacy 2013.
  • Bing-Rong Lin and Daniel Kifer. Information Measures in Statistical Privacy and Data Processing Applications. manuscript prepared for submission
  • Bing-Rong Lin and Daniel Kifer. Towards a Systematic Analysis of Privacy Definitions. Journal of Privacy and Confidentiality (to appear) 2013.
  • Bing-Rong Lin and Daniel Kifer. Information Preservation in Statistical Privacy and Bayesian Estimation of Unattributed Histograms. SIGMOD 2013 (slides) (poster)
  • Bing-Rong Lin, Ye Wang, Shantanu Rane. On the Benefits of Sampling in Privacy Preserving Statistical Analysis on Distributed Databases. Submitted.
  • Daniel Kifer and Bing-Rong Lin. An Axiomatic View of Statistical Privacy and Utility. Journal of Privacy and Confidentiality, volume 4, issue 1, 2012.
  • Bing-Rong Lin, Ye Wang, Shantanu Rane. A Framework for Privacy Preserving Statistical Analysis on Distributed Databases. WIFS 2012.
  • Daniel Kifer and Bing-Rong Lin. Towards an Axiomatization of Statistical Privacy and Utility. Proceedings of the Twenty-Ninth ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems(PODS 2010), June 6-11, 2010, Indianapolis, Indiana, USA
  • Y.-C. Tseng, T.-Y. Lin, Y.-K. Liu, and B.-R. Lin, "Event-driven Messaging Services over Integrated Cellular and Wireless Sensor Networks: Prototyping Experiences of a Visitor System", IEEE Journal on Selected Areas in Communications, Vol. 23, June 2005, pp. 1133-1145.
  • J.-R. Jiang, B.-R. Lin and Y.-C. Tseng, "Analysis of Bluetooth Device Discovery and Some Speedup Mechanisms", International Journal of Electrical Engineering, Vol. 11, No. 4, pp. 301-310, Nov. 2004.
  • J.-R. Jiang, B.-R. Lin and Y.-C. Tseng, "A Mechanism for Quick Bluetooth Device Discovery", The Tenth Mobile Computing Workshop, Taichung, Taiwan, Mar. 2004. (Excellent Paper Award)

  • Patents

  • Ye Wang, Bing-Rong Lin and Shantanu Rane, "Privacy Preserving Statistical Analysis on Distributed Database", USA Patent Application No. 13/804,701.
  • Y.-C. Tseng, C.-Y. Lin, and B.-R. Lin, "Methods and Systems of Dynamic Channel Allocation for Access Points in Wireless Networks", USA Patent, No. 7,376,099.

  • Contact Information