Seeing is Believing? Media Integrity in a Post-Truth World
The emergence of “fake news” along with sophisticated techniques using machine learning to create realistic looking media such as DeepFakes, has led to a renewed interest in digital media forensics. In this talk, Professor Nasir Memon will broadly discuss how media is generated and manipulations have been traditionally detected. He will then look at new approaches using machine learning for creating media that are leading us to a world where images and video cannot be believed any more as they can evade traditional detection techniques. Professor Memon will end by discussing approaches that are being developed to return integrity and trust in digital media.
Professor of Computer Science and Engineering at the New York University Tandon School of Engineering.