Following the rapid development of AI-based technologies, fooling the masses with deepfake images and videos has become easier than ever. Citing its potential risks to society, companies like Facebook, Reddit, and Microsoft have already come up with ways and tools to detect deepfake content on social platforms. Now, a team of computer scientists has developed a new AI-based deepfake detection tool. It detects a deepfake image by inspecting the light reflections on the subject’s eyes.
The new tool, developed by computer scientists from the University of Buffalo, is a relatively simple system. Yet it has proved to be 94% effective in detecting deepfake content.
Now, general deepfake detection tools analyze content to find any unnatural factors such as irregular facial movements or excessive skin smoothening. The new tool, however, relies on the reflection of light in the subjects’ eyes to detect deepfake images and videos.
As per the scientists, this is because the reflection of a light source on a subject’s eyes is something an AI-based tool does not consider while generating deepfake content. As a result, the eyes in deepfake images depict different reflections on each of the corneas whereas it should be the same on both the eyes if the subject is real. You can check out a comparison image right below to better understand it.
Now, it is worth mentioning that the tool has some issues of its own. For instance, it does not work if a subject is not looking at the camera or one eye of the subject is not visible in the image. The scientists, however, hope to eliminate these issues with further development of the tool in the coming days.
As of now, the tool can easily detect less sophisticated deepfake media. For higher-quality deepfake content, however, the tool might struggle a bit and can be inaccurate.
