论文标题
隐私：一种公理方法
Privacy: An axiomatic approach
论文作者
论文摘要
现代社会中大规模数据收集的越来越多的流行率代表了对个人隐私的潜在威胁。解决这一威胁，例如通过增强隐私技术（PET），需要严格的定义，即确切的保护，即隐私本身。在这项工作中，我们根据可量化和不可还原信息流对隐私的公理定义。我们的定义通过对宠物（例如差异隐私（DP））的当代理解从社会科学领域综合了先前的工作。我们的工作强调了这样一个事实，即在实践中保护隐私的必然困难在根本上是信息理论。此外，它可以根据保护宠物的保护来实现有关宠物的定量推理，从而促进了有关其社会实施的客观政策论述。
The increasing prevalence of large-scale data collection in modern society represents a potential threat to individual privacy. Addressing this threat, for example through privacy-enhancing technologies (PETs), requires a rigorous definition of what exactly is being protected, that is, of privacy itself. In this work, we formulate an axiomatic definition of privacy based on quantifiable and irreducible information flows. Our definition synthesizes prior work from the domain of social science with a contemporary understanding of PETs such as differential privacy (DP). Our work highlights the fact that the inevitable difficulties of protecting privacy in practice are fundamentally information-theoretic. Moreover, it enables quantitative reasoning about PETs based on what they are protecting, thus fostering objective policy discourse about their societal implementation.
