Risks of AI in real-world and towards Building Robust Security measures | Hyrum Anderson

Dr Hyrum Anderson is a Distinguished Machine Learning Engineer at Robust Intelligence. Prior to that he was Principal Architect of Trustworthy Machine Learning at Microsoft where he also founded Microsoft’s AI Red Team; he also led security research at MIT Lincoln Laboratory, Sandia National Laboratories, Mendiant and was Chief Scientist at Endgame (later acquired by Elastic). He’s also the co-author of book “Not a Bug, But with a sticker” and his research interests include assessing the security and privacy of ML systems and building Robust AI models.
Timestamps of the conversation
00:50 Introduction
01:40 Background in AI and ML security
04:45 Attacks on ML systems
08:20 Fractions of ML systems prone to attacks
10:38 Operational risks with security measures
13:40 Solution from an algorithmic or policy perspective
15:46 AI regulation and policy making
22:40 Co-development of AI and security measures
24:06 Risks of Generative AI and mitigation
27:45 Influencing an AI model
30:08 Prompt stealing on ChatGPT
33:50 Mircrosoft AI Red Team
38:46 Managing risks
39:41 Government Regulations
43:04 What to expect from the book
46:40 Black in AI & Bountiful Children’s Foundation
Check-out Rora: teamrora.com/j...
Guide to STEM PhD AI Researcher + Research Scientist pay: www.teamrora.c...
Rora's negotiation philosophy:
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Hyrum's Linkedin: / hyrumanderson
And Research: scholar.google...
Book - Not a Bug, But with a Sticker: www.amazon.com...
About the Host:
Jay is a PhD student at Arizona State University.
Linkedin: / shahjay22
Twitter: / jaygshah22
Homepage: www.public.asu... for any queries.
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