Facebook AI Research created a system for the de-identification of individuals in videos, reports VentureBeat:
It maps a slightly distorted version on a person’s face in order to make it difficult for facial recognition technology to identify a person… Like faceswap deepfake software, the AI uses an encoder-decoder architecture to generate both a mask and an image. During training, the person’s face is distorted then fed into the network. Then the system generates distorted and undistorted images of a person’s face for output that can be embedded into video.
Facebook has no plan to apply the tech to any part of the Facebook family of apps at this time, a company spokesperson told VentureBeat, but such methods could enable public speech that remains recognizable to people but not to AI systems. Anonymized faces in videos could also be used for the privacy-conscious training of AI systems.
of this story at Slashdot.
Source:: Slashdot