Facebook AI Software Able to Dig Up Origins of Deepfake Images
Facebook scientists on Wednesday said they developed artificial intelligence software to not only identify “deepfake” images but to figure out where they came from.
Deepfakes are photos, videos or audio clips altered using artificial intelligence to appear authentic, which experts have warned can mislead or be completely false.
Facebook research scientists Tal Hassner and Xi Yin said their team worked with Michigan State University to create software that reverse engineers deepfake images to figure out how they were made and where they originated.
“Our method will facilitate deepfake detection and tracing in real-world settings, where the deepfake image itself is often the only information detectors have to work with,” the scientists said in a blog post.
“This work will give researchers and practitioners tools to better investigate incidents of coordinated disinformation using deepfakes, as well as open up new directions for future research,” they added.
Facebook’s new software runs deepfakes through a network to search for imperfections left during the manufacturing process, which the scientists say alter an image’s digital “fingerprint.”
