Yanping Zhang
ABSTRACT
Physical distancing between individuals is key to preventing the spread of a disease such as COVID-19. On the one hand, having access to information about physical interactions is critical for decision makers; on the other, this information is sensitive and can be used to track individuals. In this work, we design Poirot, a system to collect aggregate statistics about physical interactions in a privacy-preserving manner. We show a preliminary evaluation of our system that demonstrates the scalability of our approach even while maintaining strong privacy guarantees.
- Kimon Drakopoulos. 2020. The Logic Around Contact Tracing Apps Is All Wrong. https://www.wired.com/story/opinion-the-logic-around-contact-tracing-apps-is-all-wrong/.Google Scholar
- Gabriel Kaptchuk, Daniel G. Goldstein, Eszter Hargittai, Jake M. Hofman, and Elissa M. Redmiles. 2020. How good is good enough for COVID19 apps? https://arxiv.org/pdf/2005.04343.pdf.Google Scholar
Index Terms
Poirot: private contact summary aggregation: poster abstract
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