Patents by Inventor Matthew Schabath

Matthew Schabath 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).

  • Patent number: 11763450
    Abstract: The present disclosure describes a multi-initialization ensemble-based defense strategy against an adversarial attack. In one embodiment, an exemplary method includes training a plurality of conventional neural networks (CNNs) with a training set of images, wherein the images include original images and images modified by an adversarial attack; after training of the plurality of conventional neural networks, providing an input image to the plurality of conventional neural networks, wherein the input image has been modified by an adversarial attack; receiving a probability output for the input image from each of the plurality of conventional neural networks; producing an ensemble probability output for the input image by combining the probability outputs from each of the plurality of conventional neural networks; and labeling the input image as belonging to one of the one or more categories based on the ensemble probability output.
    Type: Grant
    Filed: November 16, 2020
    Date of Patent: September 19, 2023
    Assignees: UNIVERSITY OF SOUTH FLORIDA, H. LEE MOFFITT CANCER CENTER AND RESEARCH INSTITUTE, INC.
    Inventors: Rahul Paul, Dmitry Goldgof, Lawrence Hall, Matthew Schabath, Robert Gillies