Abstract: A model testing system administers tests to machine learning (ML) models to test the accuracy and the robustness of the ML models. A user interface (UI) associated with the model testing system receives selections of one or more of a plurality of tests to be administered to a ML model under test. Test data produced by one or more of a plurality of testing ML models that correspond to the plurality of tests is provided to the ML model under test based on the selected tests. One or more of a generative patches test, a generative perturbations test and a counterfeit data test can be administered to the ML model under test based on the selections.
Type:
Grant
Filed:
May 5, 2020
Date of Patent:
September 6, 2022
Assignee:
ACCENTURE GLOBAT, SOLUTIONS LIMITED
Inventors:
Indrajit Kar, Shalini Agarwal, Vishal Pandey, Mohammed C. Salman, Sushresulagna Rath