交互式环境下的私有联邦统计
密码学与安全
2022-11-21 v1
摘要
在设备上私有地学习事件统计信息可改善用户体验。针对此类问题的差分隐私算法可显著受益于交互性。我们论证了一种聚合协议能够支持一个交互式私有联邦统计系统，其中用户设备保持对隐私保障的控制。我们描述了该系统的架构，并分析了其安全属性。
引用
@article{arxiv.2211.10082,
title = {Private Federated Statistics in an Interactive Setting},
author = {Audra McMillan and Omid Javidbakht and Kunal Talwar and Elliot Briggs and Mike Chatzidakis and Junye Chen and John Duchi and Vitaly Feldman and Yusuf Goren and Michael Hesse and Vojta Jina and Anil Katti and Albert Liu and Cheney Lyford and Joey Meyer and Alex Palmer and David Park and Wonhee Park and Gianni Parsa and Paul Pelzl and Rehan Rishi and Congzheng Song and Shan Wang and Shundong Zhou},
journal= {arXiv preprint arXiv:2211.10082},
year = {2022}
}