Managing Vulnerabilities in Machine Learning and Artificial Intelligence Systems

06.04.2021 - By Software Engineering Institute (SEI) Podcast Series

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In this podcast, Jonathan Spring, Nathan VanHoudnos, and Allen Householder, all researchers at the Carnegie Mellon University Software Engineering Institute, discuss the management of vulnerabilities in ML systems as well as the Adversarial ML Threat Matrix, which aims to close this gap between academic taxonomies and operational concerns.

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