Patents by Inventor Simon CORBEIL-LETOURNEAU

Simon CORBEIL-LETOURNEAU has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Publication number: 20230196118
    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.
    Type: Application
    Filed: December 15, 2022
    Publication date: June 22, 2023
    Inventors: Simon CORBEIL-LETOURNEAU, Freddy LECUE, David BEACH