To conduct the experiments, the research team obtained real images from Flickr Faces-HQ, as well as fake images from a repository of AI-generated faces that look lifelike but are indeed fake. Lyu’s tool exploits this shortcoming by spotting tiny deviations in reflected light in the eyes of deepfake images. However, most images generated by artificial intelligence – including generative adversary network (GAN) images – fail to accurately or consistently do this, possibly due to many photos combined to generate the fake image. In a real photo or video, the reflections on the eyes would generally appear to be the same shape and color. When we look at something, the image of what we see is reflected in our eyes. Tool maps face, examines tiny differences in eyes The paper, “ Exposing GAN-Generated Faces Using Inconsistent Corneal Specular Highlights,” is available on the open access repository arXiv.Ĭo-authors are Shu Hu, a third-year computer science PhD student and research assistant in the Media Forensic Lab at UB, and Yuezun Li, PhD, a former senior research scientist at UB who is now a lecturer at the Ocean University of China’s Center on Artificial Intelligence. It’s something that we typically don’t typically notice when we look at a face,” says Lyu, a multimedia and digital forensics expert who has testified before Congress. “The two eyes should have very similar reflective patterns because they’re seeing the same thing. “So, anything that is coming to the eye with a light emitting from those sources will have an image on the cornea. “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. 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. – University at Buffalo computer scientists have developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes.
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