#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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Play): https://bit.ly/2MlvP5w 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
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Apple Podcasts, follow on Spotify, or support it on Patreon. 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