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Archive: 2020

Comments on NIST IR 8269: A Taxonomy and Terminology of Adversarial Machine Learning

Comments on NIST IR 8269: A Taxonomy and Terminology of Adversarial Machine Learning

• CERT/CC Blog
Jonathan Spring

The U.S. National Institute of Standards and Technology (NIST) recently held a public comment period on their draft report on proposed taxonomy and terminology of Adversarial Machine Learning (AML). AML sits at the intersection of many specialties of the SEI. Resilient engineering of Machine Learning (ML) systems requires good data science, good software engineering, and good cybersecurity. Our colleagues have suggested 11 foundational practices of AI engineering. In applications of ML to cybersecurity, we have...

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