"AI and Security: Lessons, Challenges and Future Directions"
Dawn Song, UC Berkeley
Wednesday, October 3, 2018 at 4:30 PM
85 Waterman Street, Room 130
In this talk, I will talk about challenges and exciting new opportunities at the intersection of AI and Security, how AI and deep learning can enable better security, and how Security can enable better AI. In particular, I will talk about secure deep learning and challenges and approaches to ensure the integrity of decisions made by deep learning. I will also give an overview on challenges and new techniques to enable privacy-preserving machine learning. I will also talk about our recent project on privacy-preserving smart contracts and towards democratization of AI. Finally, I will conclude with future directions at the intersection of AI and Security.
Dawn Song is Professor of Computer Science at UC Berkeley. Her research interests lie in deep learning, security, and blockchain. 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, 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). She obtained her Ph.D. degree from UC Berkeley. She is currently the founder and CEO of Oasis Labs, creating privacy-first cloud computing on blockchain.
Host: Professor Roberto Tamassia