Guidance
Machine learning principles
These principles help developers, engineers, decision makers and risk owners make informed decisions about the design, development, deployment and operation of their machine learning (ML) systems.
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Part 4: Secure operation
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This section contains guidelines that apply to your ML component once in operation.
Continual learning (also known as online learning) comprises methods of adjusting or continuing to train a model after deployment, based on operational interactions and feedback. This adds an extra level of complexity to a system and can bring security benefits as well as new opportunities for attackers.