#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. Support this podcast by signing up with these sponsors: – Cash App – use code “LexPodcast” and download: – Cash App (App Store): https://apple.co/2sPrUHe – Cash App (Google 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 information about this podcast go to https://lexfridman.com/ai or connect with @lexfridman on Twitter , LinkedIn , Facebook , Medium , or YouTube where you can watch the video versions of these conversations. If you enjoy the podcast, please rate it 5 stars on 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