#48 Machine Learning Security - Andy Smith
Machine Learning Street Talk (MLST)
Navigating Machine Learning Security in DevOps
This chapter explores the intersection of DevOps and machine learning, focusing on the challenges posed by complex systems and multidisciplinary teams. It emphasizes the importance of threat modeling and risk management to identify vulnerabilities, while advocating for traditional cybersecurity principles. The discussion highlights the need for a pragmatic approach to security, addressing both human error and potential adversarial threats in machine learning environments.
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