There’s a thing called chaff that fighter aircraft use as a counter-measure against radar. It’s basically strips of aluminum foil which, when deployed in a cloud behind a plane as flies through the air, confusing the enemy radar with multiple targets.
I think of chaff when I think of how a Boston University team has figured out how to add invisible visual noise to images to throw off Deep Fake algorithms. Clever!
The BU team’s algorithm allows users to protect media before uploading it to the internet by overlaying an image or video with an imperceptible filter. When a manipulator uses a deep neural network to try to alter an image or video protected by the BU-developed algorithm, the media is either left unchanged or completely distorted, the pixels rendering in such a way that the media becomes unrecognizable and unusable as a deepfake.
Protective Filter Defends Images and Video against Deepfake Manipulation