BUFFALO, N.Y. – 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 ...

Driven by advances in artificial intelligence, doctored video content known as deepfakes present a serious and growing danger when it comes to the spread of misinformation. As these altered clips ...

The big picture: The Internet has long demonstrated the potential hazard involving unintentional reflections in photos. In 2015, researchers at MIT developed an algorithm to remove distracting (and ...

Computer scientists have developed a tool that detects deepfake photos with near-perfect accuracy. The system, which analyzes light reflections in a subject's eyes, proved 94 percent effective in ...