Tumult Analytics：一个鲁棒、易用、可扩展且富有表现力的差分隐私框架
密码学与安全
2022-12-09 v1
摘要
在这篇短文中，我们概述了 Tumult Analytics 的设计，这是一个 Python 差分隐私框架，已被美国人口普查局、维基媒体基金会或美国国税局等机构使用。
引用
@article{arxiv.2212.04133,
title = {Tumult Analytics: a robust, easy-to-use, scalable, and expressive framework for differential privacy},
author = {Skye Berghel and Philip Bohannon and Damien Desfontaines and Charles Estes and Sam Haney and Luke Hartman and Michael Hay and Ashwin Machanavajjhala and Tom Magerlein and Gerome Miklau and Amritha Pai and William Sexton and Ruchit Shrestha},
journal= {arXiv preprint arXiv:2212.04133},
year = {2022}
}