16 citations · 48 across the 5 of their papers we have counts for
8 papers
Google COVID-19 Vaccination Search Insights: Anonymization Process Description
Shailesh Bavadekar, Adam Boulanger, John Davis +22
This report describes the aggregation and anonymization process applied to the COVID-19 Vaccination Search Insights (published at http://goo.gle/covid19vaccinationinsights), a publ…
A General Purpose Transpiler for Fully Homomorphic Encryption
Shruthi Gorantala, Rob Springer, Sean Purser-Haskell +22
Fully homomorphic encryption (FHE) is an encryption scheme which enables computation on encrypted data without revealing the underlying data. While there have been many advances in…
Google COVID-19 Search Trends Symptoms Dataset: Anonymization Process Description (version 1.0)
Shailesh Bavadekar, Andrew Dai, John Davis +27
This report describes the aggregation and anonymization process applied to the initial version of COVID-19 Search Trends symptoms dataset (published at https://goo.gle/covid19sympt…
Google COVID-19 Community Mobility Reports: Anonymization Process Description (version 1.1)
Ahmet Aktay, Shailesh Bavadekar, Gwen Cossoul +21
This document describes the aggregation and anonymization process applied to the initial version of Google COVID-19 Community Mobility Reports (published at http://google.com/covid…
Differentially Private SQL with Bounded User Contribution
Royce J Wilson, Celia Yuxin Zhang, William Lam +3
Differential privacy (DP) provides formal guarantees that the output of a database query does not reveal too much information about any individual present in the database. While ma…
Differential privacy with partial knowledge
Damien Desfontaines, Esfandiar Mohammadi, Elisabeth Krahmer +1
Differential privacy offers formal quantitative guarantees for algorithms over datasets, but it assumes attackers that know and can influence all but one record in the database. Th…