Privacy and Data-Based Research
面向应用经济学家，讲述微数据隐私保护的失败案例，并通俗介绍差分隐私的核心思想，强调在大数据情境下如何保障个体隐私。
What can we, as users of microdata, formally guarantee to the individuals (or firms) in our dataset, regarding their privacy? We retell a few stories, well-known in data-privacy circles, of failed anonymization attempts in publicly released datasets. We then provide a mostly informal introduction to several ideas from the literature on differential privacy, an active literature in computer science that studies formal approaches to preserving the privacy of individuals in statistical databases. We apply some of its insights to situations routinely faced by applied economists, emphasizing big-data contexts.