Hyrum Anderson, Robust Intelligence

Hyrum Anderson is Distinguished ML Engineer at Robust Intelligence. He received his PhD in Electrical Engineering from University of Washington, with an emphasis on signal processing and machine learning, and BS and MS degrees in Electrical Engineering from Brigham Young University. Much of his career has been focused on defense and security, having directed research projects at MIT Lincoln Laboratory, Sandia National Laboratories, Mandiant, as Chief Scientist at Endgame (acquired by Elastic), and Principal Architect of Trustworthy Machine Learning at Microsoft. While at Microsoft, he organized Microsoft’s AI Red Team and oversaw the first exercises on production AI systems as chair of the AI Red Team governing board. Hyrum cofounded the Conference on Applied Machine Learning in Information Security (CAMLIS), and co-organizes the ML Security Evasion Competition (mlsec.io) and the ML Model Attribution Challenge (mlmac.io). He has spoken at numerous academic and industry conferences at the intersection of security and machine learning, including RSA, BlackHat and DEFCON. He has authored over 60 peerreviewed academic publications, and coauthored the book “Not With a Bug, But With a Sticker: Attacks on Machine Learning Systems and What To Do About Them”.