Deep Fakes With Synthetic Media #TCRobotics

This Reality Does Not Exist: Trust in an Age of Synthetic Media
with Alexei Efros (UC Berkeley) and
Hany Farid (Dartmouth College)

AI-based tools are proving capable of fabricating or modifying imagery and audio in ways that are nearly indistinguishable from reality. How can these systems and media be detected, and how can we trust anything when everything could be faked?

The difference is democratization. It is so easy for anyone to make fake images, videos and news.

There are social media platforms to get the reach.

In a world of deep fakes that there would be plausible deniability for all video, audio and other evidence can be claimed to be fake.

In the long run, Alexei thinks we are screwed.

Hany indicates that the journalists and the public have to get more mature and sophisticated.

There is a constant arms race and the forensics and audit will always be behind but we can move the bar beyond the amateurs.


Alexei A. Efros joined UC Berkeley in 2013. Prior to that, he was nine years on the faculty of Carnegie Mellon University, and has also been affiliated with École Normale Supérieure/INRIA and University of Oxford. His research is in the area of computer vision and computer graphics, especially at the intersection of the two. He is particularly interested in using data-driven techniques to tackle problems where large quantities of unlabeled visual data are readily available. Efros received his PhD in 2003 from UC Berkeley.

He is a recipient of CVPR Best Paper Award (2006), NSF CAREER award (2006), Sloan Fellowship (2008), Guggenheim Fellowship (2008), Okawa Grant (2008), Finmeccanica Career Development Chair (2010), SIGGRAPH Significant New Researcher Award (2010), ECCV Best Paper Honorable Mention (2010), Three Helmholtz Test of Time Prizes (1999, 2003, 2005), and the ACM Prize in Computing (2016).

Hany Farid, Professor, Dartmouth College. The Albert Bradley 1915 Third Century Professor of Computer Science at Dartmouth. My research focuses on digital forensics, image analysis, and human perception. I received my undergraduate degree in Computer Science and Applied Mathematics from the University of Rochester in 1989, my M.S. in Computer Science from SUNY Albany, and my 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, I joined the faculty at Dartmouth in 1999. I am the recipient of an Alfred P. Sloan Fellowship, a John Simon Guggenheim Fellowship, and am a Fellow of the National Academy of Inventors.

SOURCE – Live coverage of This Reality Does Not Exist: Trust in an Age of Synthetic Media discussion at TechCrunch Robotics AI 2019, Youtube
Written By Brian Wang

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