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Privacy-preserving IR: when information retrieval meets privacy and security

Published:03 July 2014Publication History

ABSTRACT

Information retrieval (IR) and information privacy/security are two fast-growing computer science disciplines. There are many synergies and connections between these two disciplines. However, there have been very limited efforts to connect the two important disciplines. On the other hand, due to lack of mature techniques in privacy-preserving IR, concerns about information privacy and security have become serious obstacles that prevent valuable user data to be used in IR research such as studies on query logs, social media, tweets, sessions, and medical record retrieval. This privacy-preserving IR workshop aims to spur research that brings together the research fields of IR and privacy/security, and research that mitigates privacy threats in information retrieval by constructing novel algorithms and tools that enable web users to better understand associated privacy risks.

References

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  1. Privacy-preserving IR: when information retrieval meets privacy and security

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      • Published in

        cover image ACM Conferences
        SIGIR '14: Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval
        July 2014
        1330 pages
        ISBN:9781450322577
        DOI:10.1145/2600428

        Copyright © 2014 Owner/Author

        Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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        Association for Computing Machinery

        New York, NY, United States

        Publication History

        • Published: 3 July 2014

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        • technical-note

        Acceptance Rates

        SIGIR '14 Paper Acceptance Rate82of387submissions,21%Overall Acceptance Rate792of3,983submissions,20%

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