#95 – Dawn Song: Adversarial Machine Learning and Computer Security

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.


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EPISODE LINKS:
Dawn’s Twitter: https://twitter.com/dawnsongtweets
Dawn’s Website: https://people.eecs.berkeley.edu/~dawnsong/
Oasis Labs: https://www.oasislabs.com


This conversation is part of the Artificial Intelligence
podcast. If you would like to get more information
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Here’s the outline of the episode. On some podcast players you
should be able to click the timestamp to jump to that time.


OUTLINE:
00:00 – Introduction
01:53 – Will software always have security vulnerabilities?
09:06 – 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