AI deepfake detector that spots reflections in people s eyes is launched
A new artificial intelligence system that identifies the light in real people s eyes could become a vital weapon in the ever-more dangerous menace of deepfakes
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Siwei Lyu, SUNY Empire Innovation Professor
Department of Computer Science and Engineering
UB computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes.
The tool proved 94% effective with portrait-like photos in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June in Toronto.
“The cornea is almost like a perfect semisphere and is very reflective,” says lead author, Siwei Lyu, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering. “So, anything that is coming to the eye with a light emitting from those sources will have an image on the cornea.
University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94% effective in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing to be held in June in Toronto, Canada.
UB computer scientists develop tool to spot deepfake photos - UB Now: News and views for UB faculty and staff buffalo.edu - get the latest breaking news, showbiz & celebrity photos, sport news & rumours, viral videos and top stories from buffalo.edu Daily Mail and Mail on Sunday newspapers.