论文标题
公平的上下文感知隐私威胁建模
Fair Context-Aware Privacy Threat Modelling
论文作者
论文摘要
鉴于当今世界的进步本质，公平是各个领域中非常重要的社会方面，并且长期以来一直在技术出现。据我们所知，缺乏量化隐私威胁模型中公平性错误和公平性的方法。为此，在这篇简短的论文中，我们研究了由于在特定情况/上下文中以及跨环境中的隐私威胁原因而导致的隐私威胁建模中的公平概念。
Given the progressive nature of the world today, fairness is a very important social aspect in various areas, and it has long been studied with the advent of technology. To the best of our knowledge, methods of quantifying fairness errors and fairness in privacy threat models have been absent. To this end, in this short paper, we examine notions of fairness in privacy threat modelling due to different causes of privacy threats within a particular situation/context and that across contexts.
