Train Proxy via Replication

Adversaries may replicate a private model. By repeatedly querying the victim's AI Model Inference API Access, the adversary can collect the target model's inferences into a dataset. The inferences are used as labels for training a separate model offline that will mimic the behavior and performance of the target model.

A replicated model that closely mimic's the target model is a valuable resource in staging the attack. The adversary can use the replicated model to Craft Adversarial Data for various purposes (e.g. Evade AI Model, Spamming AI System with Chaff Data).