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A team of researchers has developed a tool that automatically identifies deepfake photos by analyzing light reflections in the eyes.
The tool proved 94 per cent effective in experiments described in a paper accepted at the IEEE International Conference on Acoustics, Speech and Signal Processing.
“The cornea is almost like a perfect semisphere and is very reflective,” said the lead author, Siwei Lyu from University at Buffalo.
“So, anything that is coming to the eye with a light emitting from those sources will have an image on the cornea. The two eyes should have very similar reflective patterns because they’re seeing the same thing. It’s something that we typically don’t typically notice when we look at a face,” Lyu, added.

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