PREDICT: PRivacy Enhancing Dynamic Information Collection and moniToring

Publications

  • Liyue Fan, Li Xiong. An Adaptive Approach to Real-time Aggregate Monitoring with Differential Privacy. IEEE Transactions on Data and Knowledge Engineering (TKDE), 2013

  • Liyue Fan, Li Xiong, Vaidy Sunderam. Differentially Private Multi-Dimensional Time-Series Release for Traffic Monitoring. 27th IFIP WG 11.3 Conference on Data and Applications Security and Privacy (DBSec), 2013 (Best student paper award)

  • Li Xiong, Vaidy Sunderam, Liyue Fan, Slawomir Goryczka, Layla Pournajaf. PREDICT: Privacy and Security Enhancing Dynamic Information Collection and Monitoring. DDDAS Workshop, in conjunction with ICCS, 2013

  • L. Fan, L. Xiong, V. Sunderam. FAST: Differentially Private Real-Time Aggregate Monitor with Filtering and Adaptive Sampling (demo track). ACM SIGMOD, 2013

  • Slawomir Goryczka, Li Xiong, Vaidy Sunderam. Secure Multiparty Aggregation with Differential Privacy: A Comparative Study. 6th Workshop on Privacy and Anonymity in Information Society (PAIS), 2013

  • S. Goryczka, L. Xiong, B. C. M. Fung. Secure Distributed Data Anonymization and Integration with m-Privacy. IEEE Transactions on Data and Knowledge Enginnering (TKDE), 2013

  • J. Liu, L. Xiong, J. Luo, J. Huang. Privacy Preserving Distributed DBSCAN Clustering. Transactions on Data Privacy (TDP). Accepted in December, 2012

  • Liyue Fan, Li Xiong. Real-Time Aggregate Monitoring with Differential Privacy (short paper). In 21st ACM International Conference on Information and Knowledge Management (CIKM), 2012

  • Technical Reports

  • Layla Pournajaf, Li Xiong, Vaidy Sunderam, Slawomir Goryczka. Privacy-Aware Spatial Task Assignment for Coordinated Participatory Sensing, 2013
  • Presentations

  • Differentially Private Multi-Dimensional Time-Series Release for Traffic Monitoring, contributed, DBSec, July, 2013

  • Real-Time Aggregate Monitoring with Differential Privacy, contributed, 21st ACM CIKM, November, 2012

  • Real-Time Aggregate Monitoring with Differential Privacy, invited, iDASH privacy workshop, UCSD, September, 2012