Cisco Blogs / Blaine Nelson
Blaine Nelson
Engineering Architect
Security Business Group
Dr. Blaine Nelson earned his B.S. (University of South Carolina), M.S. and Ph.D (UC Berkeley) degrees in Computer Science. He was a Humboldt Postdoctoral Research Fellow at the University of Tübingen (2011-13) and a Postdoctoral Researcher at the University of Potsdam (2013-14) in Germany.
As a graduate student and post-doc, Dr. Nelson co-established the foundations of adversarial machine learning. He has twice co-chaired the ACM CCS workshop on Artificial Intelligence and Security, and co-coordinated the Dagstuhl Perspectives Workshop on Machine Learning Methods for Computer Security (2012).
Following his post-doctoral work, Dr. Nelson worked as a software engineer in Google's fraud detection group (2014-2016) where he built models and designed infrastructure for large scale machine learning. He then became a senior software engineer at Google's counter-abuse technology team (2016-2021) where he designed and built a large scale machine learning workflow system.
Currently, Dr. Nelson is an engineering architect at Cisco where he works to investigate the security of machine learned models by finding potential flaws or vulnerabilities in their behavior and develop protections to guard such models against these threats.
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