Sept. 15, 2022, 1:20 a.m. | Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, Kevin Fu

cs.CR updates on arXiv.org arxiv.org

Using mathematical modeling and human subjects experiments, this research
explores the extent to which emerging webcams might leak recognizable textual
and graphical information gleaming from eyeglass reflections captured by
webcams. The primary goal of our work is to measure, compute, and predict the
factors, limits, and thresholds of recognizability as webcam technology evolves
in the future. Our work explores and characterizes the viable threat models
based on optical attacks using multi-frame super resolution techniques on
sequences of video frames. Our …

screen video video conferencing

SOC 2 Manager, Audit and Certification

@ Deloitte | US and CA Multiple Locations

Cyber Security Cloud Solution Architect

@ Microsoft | London, London, United Kingdom

Compliance Program Analyst

@ SailPoint | United States

Software Engineer III, Infrastructure, Google Cloud Security and Privacy

@ Google | Sunnyvale, CA, USA

Cryptography Expert

@ Raiffeisen Bank Ukraine | Kyiv, Kyiv city, Ukraine

Senior Cyber Intelligence Planner (15.09)

@ OCT Consulting, LLC | Washington, District of Columbia, United States