Hyrum Anderson
About Hyrum Anderson
Hyrum Anderson serves as the Chief Technology Officer at Robust Intelligence and has a strong background in security and machine learning. He has held various positions at notable organizations, including Microsoft, Mandiant, and Sandia National Laboratories, and has contributed to significant research and publications in the field.
Current Role at Robust Intelligence
Hyrum Anderson serves as the Chief Technology Officer at Robust Intelligence since 2023. In this role, he is responsible for overseeing the company's technology strategy and ensuring the security of its AI systems. His extensive background in security and machine learning informs his leadership and decision-making processes.
Previous Experience in Technology and Security
Hyrum Anderson has held several significant positions in the technology sector. He worked at Microsoft as a Principal Architect from 2020 to 2022, and prior to that, he was a Technical Lead for Security Protections at Elastic for three months in 2019. His experience also includes roles at FireEye, where he served as a Security Data Scientist and Principal Researcher, and at Sandia National Laboratories as a Principal Member of Technical Staff from 2010 to 2014.
Education and Academic Background
Hyrum Anderson earned his PhD in Electrical Engineering with a focus on Machine Learning and Signal Processing from the University of Washington, where he studied from 2006 to 2010. He also holds a Master's degree in Electrical Engineering from Brigham Young University, specializing in Remote Sensing, Image Processing, and Machine Learning, and a Bachelor's degree in Electrical Engineering from the same institution.
Research and Contributions to AI Security
Hyrum Anderson has directed research projects at various prestigious institutions, including MIT Lincoln Laboratory and Sandia National Laboratories. He co-authored the book 'Not With A Bug, But With A Sticker: Attacks on Machine Learning Systems and What To Do About Them'. Additionally, he has contributed to the development of automated risk assessment tools and collaborated with MITRE to address AI security vulnerabilities.
Involvement in Professional Organizations and Competitions
Hyrum Anderson co-founded and co-organizes the Conference on Applied Machine Learning in Information Security (CAMLIS). He has also been involved in organizing competitions such as the ML Security Evasion Competition and the ML Model Attribution Challenge, which focus on advancing the field of machine learning security.