all AI news
Private Eye: On the Limits of Textual Screen Peeking via Eyeglass Reflections in Video Conferencing. (arXiv:2205.03971v2 [cs.CR] UPDATED)
Sept. 15, 2022, 1:13 a.m. | Yan Long, Chen Yan, Shilin Xiao, Shivan Prasad, Wenyuan Xu, Kevin Fu
cs.CV 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 …
More from arxiv.org / cs.CV updates on arXiv.org
Jobs in AI, ML, Big Data
Data Architect
@ University of Texas at Austin | Austin, TX
Data ETL Engineer
@ University of Texas at Austin | Austin, TX
Lead GNSS Data Scientist
@ Lurra Systems | Melbourne
Senior Machine Learning Engineer (MLOps)
@ Promaton | Remote, Europe
Data Engineer - AWS
@ 3Pillar Global | Costa Rica
Cost Controller/ Data Analyst - India
@ John Cockerill | Mumbai, India, India, India