Towards Practical Differential Privacy for SQL Queries
Noah Johnson Joseph P. Near Dawn Song University of California, Berkeley University of California, Berkeley University of California, Berkeley
Abstract
Differential privacy promises to enable general data analytics while protecting individual privacy, but existing differential privacy mechanisms do not support the wide variety of features and databases used in real-world SQL-based analytics systems.
原文 arXiv:1706.09479;中英对照 + 大白话阅读 https://aha.fim.ai/paper/1706.09479v5