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Put AI to work
Sep 4-5, 2018: Training
Sep 5-7, 2018: Tutorials & Conference
San Francisco, CA
Dawn Song

Dawn Song
Professor, UC Berkeley

Dawn Song is a professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning, security, and the blockchain. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, distributed systems security, applied cryptography, the blockchain, and smart contracts to the intersection of machine learning and security. She is also a serial entrepreneur. Previously, she was a faculty member at Carnegie Mellon University. She is the recipient of various awards, including the MacArthur Fellowship, the Guggenheim Fellowship, the NSF CAREER Award, the Alfred P. Sloan Research Fellowship, the MIT Technology Review TR-35 Award, the Faculty Research Award from IBM, Google and other major tech companies, and best paper awards from top conferences in computer security and deep learning. She is ranked the most cited scholar in computer security (AMiner Award). Dawn holds a PhD from UC Berkeley.

Sessions

9:20am-9:35am Friday, September 7, 2018
AI and security: Lessons, challenges, and future directions
Location: Continental Ballroom 4-6
Secondary topics:  Deep Learning models, Ethics, Privacy, and Security
Dawn Song (UC Berkeley)
Average rating: ***..
(3.00, 6 ratings)
Dawn Song details challenges and exciting new opportunities at the intersection of AI and security and explains how AI and deep learning can enable better security and how security can enable better AI. You'll learn about secure deep learning and approaches to ensure the integrity of decisions made by deep learning. Read more.