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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. These AI-synthesized media (so-called deep fakes) can make people say or do things they never did. It will be described how soft biometrics based on behavioral mannerism can be used to detect these deep fakes.
Shruti Agarwal (University of California Berkeley)
Ph.D. student
Shruti Agarwal is a Ph.D. student in the Department of Electrical Engineering and Computer Sciences at the University of California Berkeley. She is currently working with Prof. Hany Farid in the field of multimedia forensics. She has previously worked as a software developer in the Adobe Illustrator team at Adobe, India. She received her master’s and bachelor’s degree in Computer Science from the Indian Institute of Technology (IIT) Delhi, India and Harcourt Butler Technology Institute (HBTI), India. Her primary research interest lies in multimedia forensics, image analysis, machine learning, and computer vision.