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X Demographics
Chapter title |
How Adversarial Assumptions Influence Re-identification Risk Measures: A COVID-19 Case Study
|
---|---|
Chapter number | 25 |
Book title |
Privacy in Statistical Databases
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-13945-1_25 |
Book ISBNs |
978-3-03-113944-4, 978-3-03-113945-1
|
Authors |
Zhang, Xinmeng, Wan, Zhiyu, Yan, Chao, Brown, J. Thomas, Xia, Weiyi, Gkoulalas-Divanis, Aris, Kantarcioglu, Murat, Malin, Bradley |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 67% |
Unknown | 2 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 5 | 83% |
Members of the public | 1 | 17% |