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

ℹ️ EPISODE INFO

Released

May 12, 2020

Duration

2h 12m

Channel

Lex Fridman Podcast

Watch on YouTube

▶ Open ↗

📝 EPISODE DESCRIPTION

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:

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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 Oasis Labs Twitter: https://twitter.com/OasisLabs PODCAST INFO: Podcast website: https://lexfridman.com/podcast Apple Podcasts: https://apple.co/2lwqZIr Spotify: https://spoti.fi/2nEwCF8 RSS: https://lexfridman.com/feed/podcast/ Full episodes playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOdP_8GztsuKi9nrraNbKKp4 Clips playlist: https://www.youtube.com/playlist?list=PLrAXtmErZgOeciFP3CBCIEElOJeitOr41 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 CONNECT:

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🎤 SPEAKERS

• Lex Fridman

  host

• Dawn Song

  guest

• Narrator

  other

🧾 EPISODE SUMMARY

In this episode of Lex Fridman Podcast, featuring Lex Fridman and Dawn Song, Dawn Song: Adversarial Machine Learning and Computer Security | Lex Fridman Podcast #95 explores Dawn Song on hacking AI: vulnerabilities, defenses, and data ownership Lex Fridman and Dawn Song explore computer security across classic software bugs, human-focused social engineering, and emerging attacks on machine learning systems.

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