This Tuesday (9/17) at 7:00 in the Simperman Auditorium, we'll be hosting Dr. Patrick Traynor, a professor of Cybersecurity at the University of Florida. He'll be giving a talk about deep learning, deepfakes, and how to distinguish deepfakes and bots from people. Here's the info:
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Title: Humans vs The Computer Interfaces: The Challenge of Separating Deepfakes/Bots from People
Short Abstract: Advances in deep learning democratized voice deepfakes, making their creation inexpensive and automated. My talk will cover a brief history of voice cloning, the current solution space, and will then discuss many of the open challenges in the space. While I will cover some technical depth, his talk is designed to be accessible to a general audience.
Short Bio: Patrick Traynor is the John and Mary Lou Dasburg Preeminent Chair in Engineering and a Professor in the Department of Computer and Information Science and Engineering (CISE) at the University of Florida. His research has uncovered critical vulnerabilities in cellular networks, developed techniques to find credit card skimmers that have been adopted by law enforcement and created robust approaches to detecting and combating Caller-ID scams. He received a CAREER Award from the National Science Foundation in 2010, was named a Sloan Fellow in 2014, a Fellow of the Center for Financial Inclusion at Accion in 2016 and a Kavli Fellow in 2017. Professor Traynor earned his Ph.D and M.S. in Computer Science and Engineering from the Pennsylvania State University in 2008 and 2004, respectively, and his B.S. in Computer Science from the University of Richmond in 2002. He is also a co-founder of Pindrop Security, CryptoDrop, and Skim Reaper.