Abstract: The past few years have seen a startling and troubling rise in the fake-news phenomena in which everyone from individuals to state-sponsored entities can produce and distribute mis-information. The implications of fake news range from a mis-informed public to an existential threat to democracy, and horrific violence. At the same time, recent and rapid advances in machine learning are making it easier than ever to create sophisticated and compelling fake images and videos, making the fake-news phenomena even more powerful and dangerous. I will provide a broad overview of the field of digital image forensics and how these techniques — working in the absence of digital watermarks or signatures — can begin to return some trust to the images and videos that we see every day.
Bio: Professor Farid received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, M.S. in Computer Science from SUNY Albany, and Ph.D. in Computer Science from the University of Pennsylvania in 1997. Following a two-year post-doctoral fellowship in Brain and Cognitive Sciences at MIT, he joined the faculty at Dartmouth in 1999. In the Summer of 2019 he will join the faculty at UC Berkeley with a joint appointment in the School of Information and EECS. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and a Fellow of the National Academy of Inventors. He is also the Chief Technology Officer and co-founder of Fourandsix Technologies and a Senior Adviser to the Counter Extremism Project.