MSU and Facebook team up to detect deepfakes

Michigan

FILE – This March 29, 2018 file photo, shows the logo for social media giant Facebook at the Nasdaq MarketSite in New York’s Times Square. Facebook said Monday Jan. 6, 2020 that it is banning “deepfake” videos, the false but realistic clips created with artificial intelligence and sophisticated tools, as it steps up efforts to fight online manipulation. (AP Photo/Richard Drew, File)

EAST LANSING, Mich. (WLNS) – Michigan State University is teaming up with Facebook to develop a new method to detect deepfakes.

Those are photos or videos edited with advanced software to change the faces of the people in them. While some people make deepfakes that are fun or amusing, people have used this technology to put the faces of famous people into compromising situations.

Deepfakes range in quality depending on the software being used. Some are easy to spot with the naked eye while others are nearly impossible to distinguish even for computers.

Artificial intelligence experts from MSU and Facebook are working on a novel approach to fighting deepfakes that aims to reverse-engineer the software used to create them. This will make it easier to spot any deepfakes that were created with that software in the future.

The team tested their model parsing approach with 100,000 synthetic images made from 100 different versions of publicly-available software. They found their system is substantially better than previous detection models.

Click here to read the paper on their findings, or click here to read the Facebook blog post about it.

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