Publications / By Topic /  Privacy-Preserving IR

2018

  1. Grace Hui Yang and Sicong Zhang. Differential Privacy for Information Retrieval. Tutorial in the 11th ACM International Conference on Web Search and Data Mining (WSDM 2018). Los Angeles, CA, USA.

    February 5-9, 2018

2017

  1. Sicong Zhang. Query Log Anonymization by Differential Privacy. Ph.D. Thesis. Georgetown University. Washington, DC. USA.

    November, 2017
  2. Sicong Zhang and Grace Hui Yang. Deriving Differentially Private Session Logs for Query Suggestion. In the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017). Amsterdam, Netherlands.

    October 1-4, 2017
  3. Grace Hui Yang and Sicong Zhang. Differential Privacy for Information Retrieval. Tutorial in the 3rd ACM International Conference on the Theory of Information Retrieval (ICTIR 2017). Amsterdam, Netherlands.

    October 1-4, 2017

2016

  1. Sicong Zhang, Grace Hui Yang, Lisa Singh, Li Xiong. Safelog: Supporting Web Search and Mining by Differentially-Private Query Logs. AAAI Fall Symposium on Privacy and Language Technologies. (AAAI 2016 FSS). Virginia, USA.

    November 17 - November 19, 2016
  2. Janet Zhu, Sicong Zhang, Lisa Singh, Grace Hui Yang and Micah Sherr. Generating Risk Reduction Recommendations to Decrease Vulnerability of Public Online Profiles (short paper). The 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2016).. San Francisco, CA, USA.

    August 18-21, 2016
  3. Hui Yang, Ian Soboroff, Li Xiong, Charles L. A. Clarke, Simson L. Garfinkel. Privacy-Preserving IR 2016: Differential Privacy, Search, and Social Media. The third workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with the 39th Annual ACM SIGIR Conference 2016 (SIGIR 2016). Pisa, Italy.

    July 17-21, 2016
  4. Sicong Zhang, Grace Hui Yang, Lisa Singh. Anonymizing Query Logs by Differential Privacy (Short paper). In Proceedings of the 39th Annual ACM SIGIR Conference (SIGIR 2016). Pisa, Italy.

    July 17-21, 2016

2015

  1. Sicong Zhang, Hui Yang, Lisa Singh. Applying Epsilon-Differential Private Query Log Releasing Scheme to Document Retrieval. In the 2nd International Workshop on Privacy-Preserving Information Retrieval Workshop (PIR'15) in conjunction with SIGIR 2015. Santiago, Chile.

    August 9-13, 2015
  2. Lisa Singh, Grace Hui Yang, Micah Sherr, Andrew Hian-Cheong, Kevin Tian, Janet Zhu and Sicong Zhang. Public Information Exposure Detection:Helping Users Understand Their Web Footprints. In Proceedings of the 2015 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2015). Paris, France.

    August 25-28, 2015
  3. Hui Yang and Ian Soboroff. The second workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with the 38th Annual ACM SIGIR Conference 2015 (SIGIR 2015). Santiago, Chile.

    August 9-13, 2015
  4. Lisa Singh, Hui Yang, Micah Sherr, Yifang Wei, Andrew Hian-Cheong, Kevin Tian, Janet Zhu, Sicong Zhang, Tavish Vaidya, Elchin Asgarli. Helping Users Understand Their Web Footprints (poster). In the Proceedings of the 24th International World Wide Web Conference (WWW2015). Florence, Italy.

    May 18-22, 2015
    pdf  bibtex

2014

  1. Sicong Zhang, Hui Yang, Lisa Singh. Increased Information Leakage from Text. In Proceedings of the 1st International Workshop on Privacy-Preserving IR (PIR 2014) in SIGIR 2014. Gold Coast, Australia.

    July 11, 2014
    pdf  bibtex
  2. Luo Si and Hui Yang. The first workshop on Privacy-Preserving IR: When Information Retrieval Meets Privacy and Security co-located with the 37th Annual ACM SIGIR Conference 2014 (SIGIR 2014). Gold Coast, Australia.

    July 6 - July 11, 2014
    pdf  proceedings  Website  bibtex

2013

  1. W. Brad Moore, Yifang Wei, Adam Orshefsky, Micah Sherr, Lisa Singh, and Hui Yang. Understanding Site-Based Inference Potential for Identifying Hidden Attributes. The 5th ASE/IEEE International Conference on Information Privacy, Security, Risk and Trust (PASSAT 2013). Washington, DC, USA.

    September 8-14, 2013
    pdf  bibtex