Optimal Utility-Privacy Trade-off with the Total Variation Distance as the Privacy Measure
Optimal Utility-Privacy Trade-off with the Total Variation Distance as the Privacy Measure
复制标题
以总变异距离作为隐私度量的最优效用-隐私权衡
DOI：
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复制
发表时间：
2018
期刊：
影响因子：
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通讯作者：
Deniz Gündüz
中科院分区：
文献类型：
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作者：
Borzoo Rassouli;Deniz Gündüz
总变化距离被提出作为一个隐私措施在信息披露的情况下，当目标是揭示一些可用的数据在返回的效用的信息，同时保留某些敏感的潜在变量从合法的接收器的隐私。引入总变差距离作为隐私泄露的度量，证明了：1）总变差距离满足后处理不等式和链接不等式，这使得它与隐私度量的直观概念一致; 2）当总变差距离作为隐私度量时，最优效用-隐私权衡可以通过标准线性规划求解; iii）它提供了通过互信息、最大泄漏或具有有界成本函数的推理攻击的改进来测量的隐私泄漏的界。
The total variation distance is proposed as a privacy measure in an information disclosure scenario when the goal is to reveal some information about available data in return of utility, while retaining the privacy of certain sensitive latent variables from the legitimate receiver. The total variation distance is introduced as a measure of privacy-leakage by showing that: i) it satisfies the post-processing and linkage inequalities, which makes it consistent with an intuitive notion of a privacy measure; ii) the optimal utility-privacy trade-off can be solved through a standard linear program when total variation distance is employed as the privacy measure; iii) it provides a bound on the privacy-leakage measured by mutual information, maximal leakage, or the improvement in an inference attack with a bounded cost function.
DOI：
10.1109/tifs.2017.2744601
发表时间：
2018-01-01
影响因子：
6.8
作者：
Giaconi, Giulio;Gunduz, Deniz;Poor, H. Vincent
通讯作者：
Poor, H. Vincent