Deepfakes, disinformation, AI, truth decay, deepfake detection | Homeland Security Newswire
Published 15 March 2021 Computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes. The tool proved 94 percent effective with portrait-like photos in experiments. 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 percent effective with portrait-like photos in experiments described in a paper accepted...
Siwei Lyu Deepfakesspotting Deepfakes Department Of Computer Science International Conference On Acoustics University At Buffalo Light Reflection
Source: homelandsecuritynewswire.com