New Deepfake Spotting Tool Proves 94% Effective – Here's the Secret of Its Success

Question: Which of these people are fake? University at Buffalo deepfake spotting tool proves 94% effective with portrait-like photos, according to study. 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 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, Canada. "The cornea is almost like a perfect semisphere and is very reflective," says the paper's lead author, Siwei Lyu, PhD, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering.