The past few years have seen a startling and troubling rise in fake online media that is challenging visual imagery as a definite record of reality. In particular, recent and rapid advances in machine learning are making it easier than ever to create sophisticated and compelling fake images and videos, escalating the scale and danger of the fake-news phenomena.
Siwei Lyu reviews the evolution of techniques behind the generation of fake media and discusses several projects in digital media forensics for the detection of fake media, with a special focus on recent work on detecting AI-generated fake videos (DeepFakes).
Siwei Lyu is a tenured associate professor in the Department of Computer Science within the College of Engineering and Applied Sciences at the University at Albany, State University of New York, where he’s the director of the Computer Vision and Machine Learning Lab (CVML). His research interests include digital image forensics, computer vision, computational neuroscience, and machine learning. Siwei has published over 110 refereed journal and conference papers. He’s the recipient of the 2011 IEEE Signal Processing Society Best Paper Award, the 2010 National Science Foundation CAREER Award, SUNY Albany’s Presidential Award for Excellence in Research and Creative Activities, and the SUNY Chancellor’s Award for Excellence in Research and Creative Activities. He’s a senior member of the International Society of Electric and Electronic Engineers (IEEE) and a member of Omicron Delta Kappa. He holds a PhD in computer science from Dartmouth College.
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