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Model Extraction is an attack that reconstructs a model's parameters or replicates its behaviour by systematically querying it and observing the outputs.
Model Extraction, an attack that reconstructs a model's parameters or replicates its behaviour by systematically querying it and observing the outputs.
Also called model stealing, this lets an adversary build a close copy of a proprietary model, or probe it for weaknesses, using only its API responses. It threatens intellectual property and can be a stepping stone to other attacks, which is why query monitoring and rate limiting feature in AI security controls.
Source: Machine-learning security research
Also called model stealing, this lets an adversary build a close copy of a proprietary model, or probe it for weaknesses, using only its API responses. It threatens intellectual property and can be a stepping stone to other attacks, which is why query monitoring and rate limiting feature in AI security controls.
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