隐私保护IR 2015:当信息检索满足隐私和安全

G. Yang, I. Soboroff
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引用次数: 8

摘要

信息检索(IR)和信息隐私/安全是两个快速发展的计算机科学学科。这两个学科之间有许多协同作用和联系。然而,将这两个重要学科联系起来的努力非常有限。另一方面,由于缺乏成熟的隐私保护IR技术,对信息隐私和安全的担忧已经成为阻碍有价值的用户数据用于IR研究的严重障碍,例如查询日志、社交媒体、tweet和病历检索的研究。为了将信息检索和信息隐私与安全这两个学科联系起来,我们提出了这个隐私保护IR研讨会。我们期待着促进旨在将IR和隐私/安全研究领域结合在一起的研究。去年,首届隐私保护IR研讨会的重点是通过新颖的算法和工具减轻信息检索中的隐私威胁,使网络用户更好地了解相关的隐私风险。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Preserving IR 2015: When Information Retrieval Meets Privacy and Security
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, and medical record retrieval. We propose this privacy-preserving IR workshop to connect the two disciplines of information retrieval and information privacy and security. We look forward to spurring research that aims to bring together the research fields of IR and privacy/security. Last year, the first privacy-preserving IR workshop focused on mitigating privacy threats in information retrieval by novel algorithms and tools that enable web users to better understand associated privacy risks.
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