![]() ![]() The AI could spot faces in 80 per cent of cases and could also discern the gender and names of participants, and estimate their age – further increasing the accuracy of results when the images were cross-referenced against social-network data. “Video conference users are facing prevalent security and privacy threats,” said Dr Michael Fire of the BGU Department of Software and Information Systems Engineering, warning that “it is relatively easy to collect thousands of publicly available images of videoconference meetings and extract personal information about the participants.” Researchers at Israel’s Ben-Gurion University of the Negev used artificial intelligence (AI) tools to analyse the participants of more than 15,700 videoconference gallery images – which are often screen-shotted by participants as mementos or records of attendance – that had been shared on Instagram and Twitter.īy comparing these images against a database of 142,000 face images scraped from social-media sites, the researchers described in a newly published paper, the AI routines identified 1153 people who had appeared in more than one meeting. The Brady Bunch-style ‘ gallery view’ of videoconferencing apps like Zoom, Microsoft Teams, and Google Meet has become a sign of the times – but it could also be a major security issue, according to Israeli researchers who warn that group chats can “vastly and easily” betray the identities of online collaborators.
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