AUTOMATED MACHINE LEARNING MODEL ASSESSMENT
卷宗概要
发明人
John Gwilliams; Sultan Saadaldean Alsharif; Abdulmalik Abdulaziz Aljurayyad; Eidan K. Aleidan
IPC 分类
CPC 分类
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.
原文（中文）
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.