信息价值的隐私效用权衡

Akira Kamatsuka, Takahiro Yoshida, T. Matsushima
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引用次数: 2

摘要

我们在统计决策理论框架中考虑具有效用和隐私保证的数据发布问题。在这个框架中,我们引入了一个统计决策理论量,称为平均增益,用于测量隐私和效用。我们还展示了平均增益与$\alpha$-泄漏之间的关系,$\alpha$-泄漏是由Liao等人提出的一种可调泄漏度量。此外,我们利用Stratonovich的信息价值(VoI)提出了隐私效用权衡(PUT)问题,并对PUT进行了分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Privacy-Utility Trade-off with the Stratonovich’s Value of Information
We consider the problem of publishing data with utility and privacy guarantees in a statistical decision-theoretical framework. In this framework, we introduce a statistical decision-theoretic quantity called average gain for measuring not only privacy but also utility. We also show a relationship between the average gain and the $\alpha$-leakage, a tunable leakage measure proposed by Liao et at. Moreover, we formulate the privacyutility trade-off (PUT) problem using Stratonovich’s value of information (VoI) and present an analysis of the PUT.
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