Model Stealing

Model stealing involves systematically querying a target model and using the responses to train a replica model that mimics the original's behavior. This can be done through various techniques including equation solving side-channel attacks or gradient estimation. The attack threatens intellectual property and can enable other attacks by providing insight into the target model.

Protecting proprietary trading algorithms Securing medical diagnostic models Safeguarding recommendation engines Protecting intellectual property in AI services