Astronomers solve deepfakes?

The pair [Kevin Pimbblet & Adejumoke Owolabi, Uni of Hull] found CAS wasn't as useful for detecting deepfakes. Concentration works best with a single point of light, but reflections often appear as patches of light scattered across an eyeball. Asymmetry suffers from a similar problem — those patches make the reflection asymmetrical and Pimbblet said it was hard to get this measure "right". 

Using the Gini coefficient worked a lot better. This is a way to measure inequality across a spectrum of values. It can be used to calculate a range of results related to inequality, such as the distribution of wealth, life expectancy or, perhaps most commonly, income. In this case, Gini was applied to pixel inequality.

"Gini takes the whole pixel distribution, is able to see if the pixel values are similarly distributed between left and right, and is a robust non-parametric approach to take here," Pimbblet said. 



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