AUTOMATED MACHINE LEARNING MODEL ASSESSMENT

原文（中国語）

The present disclosure relates to computer-implemented methods, software, and systems for security testing of machine learning (ML) models. A request is received to perform a security test on a first ML model, wherein the request comprises a file with the first ML model. The first ML model is analyzed to identify a type of the first ML model. Applicable test cases are generated for testing the first ML model. The applicable test cases are executed to determine a model assurance score indicative of an ability of the first ML model to withstand adversarial attacks. A report is provided for display at a display device, the report comprising the model assurance score for the first ML model.