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Dossier

AUTOMATED MACHINE LEARNING MODEL ASSESSMENT

InventionPending
2views
20Claims · 3 independent
§ Ⅰ

Dossier Overview

Inventor

John Gwilliams; Sultan Saadaldean Alsharif; Abdulmalik Abdulaziz Aljurayyad; Eidan K. Aleidan

IPC Classification

G6F 21/57G6N 20/

CPC Classification

G6F21/577G6N20/G6F2221/33

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.

Original (Chinese)

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.

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