When differential privacy was created more than a decade ago, the motivating
example was statistics published by an official statistics agency. In
attempting to transition differential privacy from the academy to
本文研究了不同 ially private 数据集的发布，并从公平的角度分析它们对一些关键的资源分配任务的影响。 结果发现，当决策以 differentially private data 作为输入时，为了实现隐私而添加的噪声会对某些群体产生不成比例的影响。该论文分析了这些不成比例影响的原因，并提出了减轻这些影响的指导方针。这些方法基于使用 differentially private census data 的关键决策问题进行了评估。