Dawn Song


The Future of AI and Security (Dawn Song)

Aug 29, 2018

In this talk, I will talk about the challenges and exciting new opportunities at the intersection of AI and Security, including how AI and deep learning can enable better security, and how Security can enable better AI. I will also give an overview on challenges and new techniques to enable privacy-preserving shared machine learning. Finally, I will talk about our recent project on confidentiality-preserving smart contracts and democratization of AI.
 

Opening Remarks, Dawn Song, UC Berkeley

Mar 10, 2020

Dawn Song, Professor, UC Berkeley @dawnsongtweets
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 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, blockchain and smart contracts, to the intersection of machine learning and security. 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). She obtained her Ph.D. degree from UC Berkeley. Prior to joining UC Berkeley as a faculty, she was a faculty at Carnegie Mellon University from 2002 to 2007. She is also a serial entrepreneur, including Ensighta Security (acquired by FireEye Inc.) and Menlo Security. She is currently the founder and CEO of Oasis Labs, creating privacy-first cloud computing on blockchain. Bio.
 

Dawn Song: Adversarial Machine Learning and Computer Security | AI Podcast #95 with Lex Fridman

May 12, 2020

Dawn Song is a professor of computer science at UC Berkeley with research interests in security, most recently with a focus on the intersection between computer security and machine learning. This conversation is part of the Artificial Intelligence podcast.

Outline:

0:00 - Introduction
1:53 - Will software always have security vulnerabilities?
9:06 - Human are the weakest link in security
16:50 - Adversarial machine learning
51:27 - Adversarial attacks on Tesla Autopilot and self-driving cars
57:33 - Privacy attacks
1:05:47 - Ownership of data
1:22:13 - Blockchain and cryptocurrency
1:32:13 - Program synthesis
1:44:57 - A journey from physics to computer science
1:56:03 - US and China
1:58:19 - Transformative moment
2:00:02 - Meaning of life
 
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