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Research#llm📝 BlogAnalyzed: Dec 29, 2025 08:00

AI and the Responsible Data Economy with Dawn Song - #403

Published:Aug 24, 2020 20:02
1 min read
Practical AI

Analysis

This article from Practical AI discusses Dawn Song's work at the intersection of AI, security, and privacy, particularly her focus on building a 'platform for a responsible data economy.' The conversation covers her startup, Oasis Labs, and their use of techniques like differential privacy, blockchain, and homomorphic encryption to give consumers more control over their data and enable businesses to use data responsibly. The discussion also touches on privatizing data in language models like GPT-3, adversarial attacks, program synthesis for AGI, and privacy in coronavirus contact tracing.
Reference

The platform would give consumers more control of their data, and enable businesses to better utilize data in a privacy-preserving and responsible way.

Research#AI Security📝 BlogAnalyzed: Dec 29, 2025 17:37

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

Published:May 12, 2020 23:20
1 min read
Lex Fridman Podcast

Analysis

This article summarizes a podcast episode featuring Dawn Song, a computer science professor at UC Berkeley. The conversation focuses on the intersection of computer security and machine learning, particularly adversarial machine learning. The episode covers various topics, including security vulnerabilities in software, the role of humans in security, adversarial attacks on systems like Tesla Autopilot, privacy attacks, data ownership, blockchain, program synthesis, and the US-China relationship in the context of AI. The podcast provides links to Dawn Song's Twitter, website, and Oasis Labs, as well as information on how to support the podcast.
Reference

Adversarial machine learning