PEPR '23 - Plume: Differential Privacy at Scale

PEPR '23 - Plume: Differential Privacy at Scale

Alex Kulesza, Google

Differential privacy has become the standard for private data analysis, and an extensive literature now offers differentially private algorithms for a wide variety of problems. However, translating these algorithms into practical systems often requires confronting details that the literature ignores or abstracts away: users may contribute multiple records, the domain of possible records may be unknown, and the eventual system must scale to large volumes of data. Failure to …

alex algorithms analysis data data analysis differential privacy google literature privacy private private data problems scale standard systems