Computer-generated images and videos are getting harder to detect, to the point that we can’t tell whether these deepfakes are fake at all! While there isn’t a trick we can use to easily discern if these resources are fake or not, a new AI tool was able to spot the difference between real images and deepfakes. The AI looks at the light reflected in the eyes, as the Next Web details:
The system was created by computer scientists from the University at Buffalo. In tests on portrait-style photos, the tool was 94% effective at detecting Deepfake images.
The system exposes the fakes by analyzing the corneas, which have a mirror-like surface that generates reflective patterns when illuminated by light.
In a photo of a real face taken by a camera, the reflection on the two eyes will be similar because they’re seeing the same thing. But Deepfake images synthesized by GANs typically fail to accurately capture this resemblance.
Instead, they often exhibit inconsistencies, such as different geometric shapes or mismatched locations of the reflections.
The AI system searches for these discrepancies by mapping out a face and analyzing the light reflected in each eyeball.
It generates a score that serves as a similarity metric. The smaller the score, the more likely the face is a Deepfake.
Image via the Next Web