论文标题

数据隐私的统计概述

A Statistical Overview on Data Privacy

论文作者

Liu, Fang

论文摘要

大数据的爆发随着大量数据和各种数据的收集和处理的日益增加,导致了过去不可能实现的科学,工程,医学,商业,商业,刑事司法和国家安全的突破性发现和创新。尽管大数据的收集和使用有很多好处,但公众在收集哪些个人信息以及如何使用的情况下也越来越担心。除了法律政策和法规外,还存在技术工具和统计策略,以促进和保护个人隐私,同时释放和共享有用的人群级别的信息。在此概述中,我介绍了其中一些方法,以及统计数据隐私研究和应用程序中现有的挑战和机遇,以更好地满足隐私保护和信息共享的实际需求。

The eruption of big data with the increasing collection and processing of vast volumes and variety of data have led to breakthrough discoveries and innovation in science, engineering, medicine, commerce, criminal justice, and national security that would not have been possible in the past. While there are many benefits to the collection and usage of big data, there are also growing concerns among the general public on what personal information is collected and how it is used. In addition to legal policies and regulations, technological tools and statistical strategies also exist to promote and safeguard individual privacy, while releasing and sharing useful population-level information. In this overview, I introduce some of these approaches, as well as the existing challenges and opportunities in statistical data privacy research and applications to better meet the practical needs of privacy protection and information sharing.

扫码加入交流群

加入微信交流群

微信交流群二维码

扫码加入学术交流群,获取更多资源