"Researchers Use AI to Highlight Zoom's Privacy Risks"

According to researchers at Ben-Gurion University of the Negev (BGU), it is relatively easy to extract personal information such as face images, names, ages, and more from public screenshots of video meetings held on Zoom and other video conferencing platforms. Data collected from video conference meetings can be cross-referenced with social network data using image processing, text recognition, and forensics. Linkage attacks pose a threat to individuals' privacy as well as the privacy and security of organizations. This article continues to discuss the increased use of video conferencing platforms during the COVID-19 pandemic, the application of Artificial Intelligence (AI) to perform linkage attacks on users, and recommendations for mitigating privacy risks associated with such platforms. 

VB reports "Researchers Use AI to Highlight Zoom's Privacy Risks"