Researchers at McAfee tested a face recognition system similar to the ones used at Airports for passport verification- they fed the system an image created by machine learning that looks like one person but is recognized as someone else by the face recognition software. This could allow someone to board a flight (who is on the no-flight list) as someone else who has the booking.
“If we go in front of a live camera that is using facial recognition to identify and interpret who they're looking at and compare that to a passport photo, we can realistically and repeatedly cause that kind of targeted misclassification,” said the researcher, Steve Povolny.
To trick the face recognition algorithm the researchers at McAfee used CycleGAN, which is an image translation algorithm that could transform your picture to make it look like something painted by Monet or make a summer picture look like a winter one.
The team used 1,500 photos of the project leads to be transformed by CycleGAN and after hundred of tries, CycleGAN created an image that the face recognition recognized as someone else instead of whom the human eye perceived.
But there are two concerns with the study- first, that the researchers had a similar face recognition system as they do at the airport security but not the same.“I think for an attack ..
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