A hands-on mid-level course that secures machine-learning systems across their lifecycle. Work the ML security board - eight domains: Data, Training, Model, Supply Chain, Deployment, Inference, Privacy, and Monitoring - defending against poisoning, evasion, model theft, and prompt injection while keeping models trustworthy. Strictly defensive. Four hands-on activities in every lesson.
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