Many programming frameworks have been introduced to support the development of differentially private software applications. In this chapter, we survey some of the conceptual ideas underlying these frameworks in a way that we hope will be helpful for both practitioners and researchers. For practitioners, the survey can provide a starting point for understanding what features may be valuable when selecting a programming framework. For researchers, it can help organize existing work in a unified way and provide context for understanding new features in future frameworks.
@article{arxiv.2403.11088,
title = {Programming Frameworks for Differential Privacy},
author = {Marco Gaboardi and Michael Hay and Salil Vadhan},
journal= {arXiv preprint arXiv:2403.11088},
year = {2024}
}
Comments
To appear as a chapter in the book "Differential Privacy for Artificial Intelligence," edited by Ferdinando Fioretto and Pascal van Hentenryck and to be published by now publishers