Safer Illinois and Rokwall: Privacy preserving university health apps for Covid-19
COVID-19 has fundamentally disrupted the way we live. Government bodies, universities,
and companies worldwide are rapidly developing technologies to combat the COVID-19
pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-
spreader event detection, and exposure mapping require collecting and analyzing sensitive
user information. The increasing use of such powerful data-driven applications necessitates
a secure, privacy-preserving infrastructure for computation on personal data. In this paper …
and companies worldwide are rapidly developing technologies to combat the COVID-19
pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-
spreader event detection, and exposure mapping require collecting and analyzing sensitive
user information. The increasing use of such powerful data-driven applications necessitates
a secure, privacy-preserving infrastructure for computation on personal data. In this paper …
Safer Illinois and RokWall: Privacy Preserving University Health Apps for COVID-19
V Sharma Mailthody, J Wei, N Chen, M Behnia… - arXiv e …, 2021 - ui.adsabs.harvard.edu
COVID-19 has fundamentally disrupted the way we live. Government bodies, universities,
and companies worldwide are rapidly developing technologies to combat the COVID-19
pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-
spreader event detection, and exposure mapping require collecting and analyzing sensitive
user information. The increasing use of such powerful data-driven applications necessitates
a secure, privacy-preserving infrastructure for computation on personal data. In this paper …
and companies worldwide are rapidly developing technologies to combat the COVID-19
pandemic and safely reopen society. Essential analytics tools such as contact tracing, super-
spreader event detection, and exposure mapping require collecting and analyzing sensitive
user information. The increasing use of such powerful data-driven applications necessitates
a secure, privacy-preserving infrastructure for computation on personal data. In this paper …