A Playbook for Securing AI Model Weights

By Sella Nevo et al.

In this report, RAND researchers identify real-world attack methods that malicious actors could use to steal AI model weights. They propose a five-level security framework that AI companies could implement to defend against different threats, from amateur hackers to nation-state operations.

Source:

https://www.rand.org/pubs/research_briefs/RBA2849-1.html

A podcast by BlueDot Impact.

Learn more on the AI Safety Fundamentals website.

Chapters

• 3:01 Why Focus on Securing AI Systems, Especially Their Model Weights?
• 5:01 What Are the Potential Avenues of Attack?
• 9:40 What Are the Security Needs of Different AI Systems?
• 11:11 How Can AI Organizations Implement Security Measures Proportional to Risk?
• 14:20 Recommended Security Measures
• 17:38 How Can Securing AI Model Weights Be Used by Stakeholders?