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相关论文: Protecting Privacy and Transforming COVID-19 Case …

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A considerable amount of various types of data have been collected during the COVID-19 pandemic, the analysis and interpretation of which have been indispensable for curbing the spread of the disease. As the pandemic moves to an endemic…

密码学与安全 · 计算机科学 2022-09-15 Fang Liu , Dong Wang , Tian Yan

This research presents a review of main datasets that are developed for COVID-19 research. We hope this collection will continue to bring together members of the computing community, biomedical experts, and policymakers in the pursuit of…

计算机与社会 · 计算机科学 2022-07-28 Syed Raza Bashir , Shaina Raza , Vidhi Thakkar , Usman Naseem

This work is inspired by the outbreak of COVID-19, and some of the challenges we have observed with gathering data about the disease. To this end, we aim to help collect data about citizens and the disease without risking the privacy of…

密码学与安全 · 计算机科学 2020-05-01 Katrine Tjell , Jaron Skovsted Gundersen , Rafael Wisniewski

The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective containment strategies. In response, many countries have promoted…

数据库 · 计算机科学 2024-09-02 Tânia Carvalho , Luís Antunes , Cristina Costa , Nuno Moniz

During the outbreak time of COVID-19, computed tomography (CT) is a useful manner for diagnosing COVID-19 patients. Due to privacy issues, publicly available COVID-19 CT datasets are highly difficult to obtain, which hinders the research…

机器学习 · 计算机科学 2020-06-19 Xingyi Yang , Xuehai He , Jinyu Zhao , Yichen Zhang , Shanghang Zhang , Pengtao Xie

There is growing use of technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research groups…

计算机与社会 · 计算机科学 2020-12-18 Lucy Simko , Jack Lucas Chang , Maggie Jiang , Ryan Calo , Franziska Roesner , Tadayoshi Kohno

There is growing interest in technology-enabled contact tracing, the process of identifying potentially infected COVID-19 patients by notifying all recent contacts of an infected person. Governments, technology companies, and research…

密码学与安全 · 计算机科学 2020-12-18 Lucy Simko , Ryan Calo , Franziska Roesner , Tadayoshi Kohno

Debate about the adoption of digital contact tracing (DCT) apps to control the spread of COVID-19 has focussed on risks to individual privacy (Sharma & Bashir 2020, Tang 2020). This emphasis reveals significant challenges to ethical…

计算机与社会 · 计算机科学 2020-07-15 Andrew Buzzell

Government agencies collect and manage a wide range of ever-growing datasets. While such data has the potential to support research and evidence-based policy making, there are concerns that the dissemination of such data could infringe upon…

密码学与安全 · 计算机科学 2026-01-29 Chris Clifton , Bradley Malin , Anna Oganian , Ramesh Raskar , Vivek Sharma

Governments and researchers around the world are implementing digital contact tracing solutions to stem the spread of infectious disease, namely COVID-19. Many of these solutions threaten individual rights and privacy. Our goal is to break…

密码学与安全 · 计算机科学 2020-04-23 Alex Berke , Michiel Bakker , Praneeth Vepakomma , Kent Larson , Alex 'Sandy' Pentland

Without proper medication and vaccination for the COVID-19, many governments are using automated digital healthcare surveillance system to prevent and control the spread. There is not enough literature explaining the concerns and privacy…

计算机与社会 · 计算机科学 2020-07-28 Molla Rashied Hussein , Ehsanul Hoque Apu , Shahriar Shahabuddin , Abdullah Bin Shams , Russell Kabir

The global outbreak of COVID-19 has led to focus on efforts to manage and mitigate the continued spread of the disease. One of these efforts include the use of contact tracing to identify people who are at-risk of developing the disease…

计算机与社会 · 计算机科学 2020-06-23 Stacy Hobson , Michael Hind , Aleksandra Mojsilovic , Kush R. Varshney

The COVID-19 Open Research Dataset (CORD-19) is a growing resource of scientific papers on COVID-19 and related historical coronavirus research. CORD-19 is designed to facilitate the development of text mining and information retrieval…

The exponential growth of collected, processed, and shared data has given rise to concerns about individuals' privacy. Consequently, various laws and regulations have been established to oversee how organizations handle and safeguard data.…

密码学与安全 · 计算机科学 2023-12-20 Wenjun Lin , Jiahao Qian , Wenwen Liu , Lang Wu

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…

密码学与安全 · 计算机科学 2020-07-03 Fang Liu

The global health threat from COVID-19 has been controlled in a number of instances by large-scale testing and contact tracing efforts. We created this document to suggest three functionalities on how we might best harness computing…

The changing nature of the COVID-19 pandemic has highlighted the importance of comprehensively considering its impacts and considering changes over time. Most COVID-19 related research addresses narrowly focused research questions and is…

In recent years, the amount of information collected about human beings has increased dramatically. This development has been partially driven by individuals posting and storing data about themselves and friends using online social networks…

计算机与社会 · 计算机科学 2014-03-24 Arkadiusz Stopczynski , Riccardo Pietri , Alex Pentland , David Lazer , Sune Lehmann

Sharing clinical research data is key for increasing the pace of medical discoveries that improve human health. However, concern about study participants' privacy, confidentiality, and safety is a major factor that deters researchers from…

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