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This deep neural network fights deepfakes

Seeing was believing until technology reared its mighty head and gave us powerful and inexpensive photo-editing tools. Now, realistic videos that map the facial expressions of one person onto those of another, known as deepfakes, present a formidable political weapon. 

Research led by Amit Roy-Chowdhury’s Video Computing Group has developed a deep neural network architecture that can identify manipulated images at the pixel level with high precision. See more details at UCR News