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Google COVID-19 Vaccination Search Insights: Anonymization Process Description

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arxiv 2107.01179 v2 pith:IMCC6LGS submitted 2021-07-02 cs.CR

Google COVID-19 Vaccination Search Insights: Anonymization Process Description

Shailesh Bavadekar , Adam Boulanger , John Davis , Damien Desfontaines , Evgeniy Gabrilovich , Krishna Gadepalli , Badih Ghazi , Tague Griffith
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Jai Gupta Chaitanya Kamath Dennis Kraft Ravi Kumar Akim Kumok Yael Mayer Pasin Manurangsi Arti Patankar Irippuge Milinda Perera Chris Scott Tomer Shekel Benjamin Miller Karen Smith Charlotte Stanton Mimi Sun Mark Young Gregory Wellenius
This is my paper
classification cs.CR
keywords covid-19anonymizationsearchvaccinationapplieddeltagoogleinsights
verification ladder T0 review T1 audit T2 compute T3 formal T4 reserved
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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. The applied anonymization techniques protect every user's daily search activity related to COVID-19 vaccinations with $(\varepsilon, \delta)$-differential privacy for $\varepsilon = 2.19$ and $\delta = 10^{-5}$.

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