Apr
27
Date: 27-April-2026
Time: 2:00 PM ET (New York Time)
Duration: Approximately 60 minutes
Presenter: Dr. Hany Farid
Moderator: Dr. Siwei Lyu
Abstract
Deepfakes have moved from clumsy images of people with six fingers to highly photorealistic images and videos that are nearly indistinguishable from reality. These deepfakes are now crossing over to real-time attacks where the “person” at the other end of a phone or video call may be an AI-generated impostor or entirely AI generated. Our presenter will discuss the state-of-the-art of real-time deepfakes, how they are being weaponized and how they can be defended against.
Biography
Hany Farid (F’18) received the B.S. degree in computer science and applied mathematics from the University of Rochester, Rochester, NY, USA; the M.S. degree in computer science from the State University of New York at Albany, Albany, NY, USA, and the Ph.D. degree in computer science from the University of Pennsylvania, Philadelphia, PA, USA, in 1989, 1992 & 1997 respectively.
He is currently a Professor with the Department of Electrical Engineering & Computer Sciences and the School of Information at the University of California, Berkeley, Berkeley, CA, USA. He was previously a Professor at Dartmouth College and a Post-doctoral Fellow with the Massachusetts Institute of Technology. His current and previous research interests include digital forensics, forensic science, misinformation, image analysis, and human perception.
Dr. Farid is a Fellow of the National Academy of Inventors (NAI). His most recent awards include the McGuire Family Prize for Societal Impact (2025), the Guggenheim Fellowship (2006), and the Alfred P. Sloan Fellowship (2002). He has contributed to several IEEE publications, including IEEE Transactions on Information Forensics and Security and IEEE Signal Processing Magazine and has authored the books Fake Photos, MIT Press, 2019, and Photo Forensics, MIT Press, 2016.
Siwei Lyu (M’06–F’22) received the B.S. degree in information science and the M.S. degree in computer science from Peking University, Beijing, China, and the Ph.D. degree in computer science from Dartmouth College, Hanover, NH, USA, in 1997 and 2000 & 2005 respectively.
He is currently a SUNY Empire Innovation Professor with the Department of Computer Science and Engineering, the Director of the UB Media Forensic Lab (UB MDFL), and the founding Co-Director of the Center for Information Integrity (CII) at the University at Buffalo, State University of New York, Buffalo, NY, USA. Previously, he served as a Professor at the University at Albany, State University of New York, and was a Post-Doctoral Research Associate with the Howard Hughes Medical Institute and the Center for Neural Science at New York University. His current and previous research interests include digital media forensics, computer vision, and machine learning.
Dr. Lyu is a Fellow of the International Association for Pattern Recognition (IAPR) and the Asia-Pacific Artificial Intelligence Association (AAIA). He is also a Distinguished Member of the Association for Computing Machinery (ACM), a Senior Member of the Sigma Xi Society, and a Member of the Omicron Delta Kappa Society. His most recent awards include the IEEE Region 1 Technological Innovation (Academic) Award (2021), the Google Faculty Research Award (2019), and the SUNY Chancellor’s Award for Excellence in Research and Creative Activities (2018). He has published over 190 refereed journal and conference papers.
