Architectural Analysis IDs 78 Specific Risks in Machine-Learning Systems

Researchers at the Berryville Institute of Machine Learning (BIML) have developed a formal risk framework to guide development of secure machine-language (ML) systems. BIML’s architectural risk analysis of ML systems is different from previous work in this area in that it focuses on issues that engineers and developers need to be paying attention to at the outset when designing and building ML systems.

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