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AI & Machine Learning · Advanced

Model Inversion and Extraction

Attacks that reconstruct sensitive training data from a model or steal a model's functionality via queries.

Definition

Model inversion and membership inference reveal whether or what data was used in training; model extraction replicates a proprietary model by querying it at scale. Rate limiting, output restrictions, monitoring and differential privacy reduce risk.

Exam tip

Rate limiting and query monitoring are key controls against model extraction.

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