Join Hany Farid, Professor of Electrical Engineering and Computer Sciences and School of Information at the University of California, Berkeley for an upcoming discussion in the Talk Series on Frauds and Fakes. This lecture is free and open to the Penn State community.
“Creating, Weaponizing, and Detecting Deep Fakes”
The past few years have seen a startling and troubling rise in the fake-news phenomena in which everyone from individuals to nation-sponsored entities can produce and distribute misinformation. The implications of fake news range from a misinformed 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, videos, and audio recordings, making the fake-news phenomena even more powerful and dangerous. I will provide an overview of the creation of these so-called deep-fakes, and I will describe emerging techniques for detecting them.
About the Speaker
Hany Farid is a Professor at the University of California, Berkeley with a joint appointment in Electrical Engineering and Computer Sciences and the School of Information. His research focuses on digital forensics, forensic science, misinformation, image analysis, and human perception. He received his undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, his M.S. in Computer Science from SUNY Albany, and his 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 College in 1999 where he remained until 2019. He is the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and is a Fellow of the National Academy of Inventors.
This event is presented by the Center for Security Research and Education, and co-sponsored by the College of Information Sciences and Technology and the Center for Socially Responsible Artificial Intelligence. It is hosted by Dongwon Lee, CSRE Faculty Fellow and Associate Professor of IST (email@example.com).