“我需要一个更好的描述”:对用户对差异隐私期望的调查

Q2 Mathematics
Rachel Cummings, Gabriel Kaptchuk, Elissa Redmiles
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引用次数: 0

摘要

尽管最近差分隐私被广泛使用,但对于用户对差分隐私的看法却知之甚少。在这项工作中,我们试图探索与差异隐私相关的用户隐私期望。具体来说,我们调查了(1)用户是否关心差异隐私所提供的保护,以及(2)他们是否因此更愿意与差异隐私系统共享他们的数据。此外,我们试图理解(3)用户对他们在实践中可能遇到的不同隐私系统的隐私期望,以及(4)他们在此类系统中共享数据的意愿。为了回答这些问题,我们使用了一系列严格进行的调查(n=2424)。& # x0D;我们发现,用户更关心差分隐私保护的信息泄露类型,当这些泄露的风险不太可能发生时,用户更愿意分享他们的私人信息。此外,我们发现在野外描述差异隐私的方式随意地设定了用户的隐私期望,这可能会因部署而产生误导。我们将我们的结果综合到一个框架中,用于理解用户与不同隐私系统共享信息的意愿,该框架考虑了用户先前隐私问题与如何描述差异隐私之间的相互作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
"I need a better description": An Investigation Into User Expectations For Differential Privacy
Despite recent widespread deployment of differential privacy, relatively little is known about what users think of differential privacy. In this work, we seek to explore users' privacy expectations related to differential privacy. Specifically, we investigate (1) whether users care about the protections afforded by differential privacy, and (2) whether they are therefore more willing to share their data with differentially private systems. Further, we attempt to understand (3) users' privacy expectations of the differentially private systems they may encounter in practice and (4) their willingness to share data in such systems. To answer these questions, we use a series of rigorously conducted surveys (n=2424). We find that users care about the kinds of information leaks against which differential privacy protects and are more willing to share their private information when the risks of these leaks are less likely to happen. Additionally, we find that the ways in which differential privacy is described in-the-wild haphazardly set users' privacy expectations, which can be misleading depending on the deployment. We synthesize our results into a framework for understanding a user's willingness to share information with differentially private systems, which takes into account the interaction between the user's prior privacy concerns and how differential privacy is described.
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来源期刊
Journal of Privacy and Confidentiality
Journal of Privacy and Confidentiality Computer Science-Computer Science (miscellaneous)
CiteScore
3.10
自引率
0.00%
发文量
11
审稿时长
24 weeks
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