论文标题
Stratonovich的信息价值和应用于隐私私人权衡权衡的概括
A Generalization of the Stratonovich's Value of Information and Application to Privacy-Utility Trade-off
论文作者
论文摘要
Stratonovich的信息价值（VOI）是数量，即在信息泄漏约束下从扰动样本中获得多少推理增益。在本文中，我们引入了通用VOI，以实现一般损失函数和一般信息泄漏。然后，我们得出了广义VOI的上限。此外，对于经典的损失函数，我们提供了上限的可实现条件，该条件比以前的研究弱。由于可以将VOI视为隐私 - 实用性权衡问题（PUT）问题的一种表述，因此我们提供了对观点上下文中可实现条件的解释。
The Stratonovich's value of information (VoI) is quantity that measure how much inferential gain is obtained from a perturbed sample under information leakage constraint. In this paper, we introduce a generalized VoI for a general loss function and general information leakage. Then we derive an upper bound of the generalized VoI. Moreover, for a classical loss function, we provide a achievable condition of the upper bound which is weaker than that of in previous studies. Since VoI can be viewed as a formulation of a privacy-utility trade-off (PUT) problem, we provide an interpretation of the achievable condition in the PUT context.
