公开(公告)号：US20230196118A1

公开(公告)日：2023-06-22

申请号：US18066624

申请日：2022-12-15

Applicant: THALES CANADA INC.

Inventor： Simon CORBEIL-LETOURNEAU ,  Freddy LECUE ,  David BEACH

IPC: G06N3/091

CPC classification number: G06N3/091

Abstract: A method of improving robustness of a deep neural network (DNN), the method including: applying a coverage metric to a trained DNN based on a test set to determine test set adequacy; monitoring a performance of the trained DNN; based on the performance, applying new data to the trained DNN; applying a novelty metric to an output of the trained DNN based on the applied new data to identify a subset of the applied new data in response to determining whether new features are generated; and identifying the subset of the applied new data.