Fetching the paper…
Reading the bibliography…
This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publicly available dataset showing aggregated and anonymized trends in Google searches related to COVID-19 vaccination.
Google covid-19 community mobility reports: Anonymization process description (version 1.0)
Ahmet Aktay, Shailesh Bavadekar, Gwen Cossoul, et al · 2020
Earlier work this paper cites.
Google covid-19 search trends symptoms dataset: Anonymization process description (version 1.0)
Shailesh Bavadekar, Andrew Dai, John Davis, et al · 2020
Cited alongside, same era.
http://goo.gle/covid19vaccinationinsights
Google covid-19 vaccination search insights
Cited in the paper.
https://github.com/GoogleCloudPlatform/covid-19-open-data/blob/main/docs/table-vaccination-search-insights.md
Google covid-19 vaccination search insights dataset
Cited in the paper.
https://en.wikipedia.org/wiki/Differential_privacy
Differential privacy
Cited in the paper.
https://github.com/google/differential-privacy/tree/main/python/dp_accounting
Google differential privacy accounting library
Cited in the paper.
Differentially private sql with bounded user contribution
Royce J. Wilson, Celia Yuxin Zhang, William Lam, Damien Desfontaines, Daniel Simmons-Marengo, and Bryant Gipson · 2020
Later among the works it cites.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…