13 citations · 23 across the 3 of their papers we have counts for
3 papers
cs.SI2021
WLAN-Log-Based Superspreader Detection in the COVID-19 Pandemic
Cheng Zhang, Yunze Pan, Yunqi Zhang +5
Identifying "superspreaders" of disease is a pressing concern for society during pandemics such as COVID-19. Superspreaders represent a group of people who have much more social co…
cs.CR2020★ 10 cited
ACOUSTIC-TURF: Acoustic-based Privacy-Preserving COVID-19 Contact Tracing
Yuxiang Luo, Cheng Zhang, Yunqi Zhang +5
In this paper, we propose a new privacy-preserving, automated contact tracing system, ACOUSTIC-TURF, to fight COVID-19 using acoustic signals sent from ubiquitous mobile devices. A…
cs.LG2015★ 13 cited
Crowd-ML: A Privacy-Preserving Learning Framework for a Crowd of Smart Devices
Jihun Hamm, Adam Champion, Guoxing Chen +2
Smart devices with built-in sensors, computational capabilities, and network connectivity have become increasingly pervasive. The crowds of smart devices offer opportunities to col…