New Delhi: At a time when “deepfake” videos become a new threat to users’ privacy, a team of Indian-origin researchers has developed Artificial Intelligence (AI)-driven deep neural network that can identify manipulated images at the pixel level with high precision. Realistic videos that map the facial expressions of one person onto those of another — known as “deepfakes”, present a formidable political weapon in the hands of nation-state bad actors.
Led by Amit Roy-Chowdhury, professor of electrical and computer engineering at the University of California, Riverside, the team is currently working on still images but this can help them detect “deepfake” videos. “We trained the system to distinguish between manipulated and non manipulated images and now if you give it a new image, it is able to provide a probability that that image is manipulated or not, and to localise the region of the image where the manipulation occurred,” said Roy-Chowdhury.
A deep neural network is what AI researchers call computer systems that have been trained to do specific tasks, in this case, recognise altered images. These networks are organised in connected layers; “architecture” refers to the number of layers and structure of the connections between them. For example, they are often smoother than the natural objects. By detecting boundaries of inserted and removed objects, a computer should be able to identify altered images. The researchers tested the neural network with a set of images it had never seen before, and it detected the altered ones most of the time.