Patents by Inventor Hyun Jun MUN

Hyun Jun MUN 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).

  • Apparatus and method for determining vulnerability of deep learning model
    Patent number: 11797688
    Abstract: An apparatus for determining a vulnerability of a deep learning model according to an embodiment includes a converter configured to generate an input image for the deep learning model by transforming an original image selected from an image dataset, a measurer configured to measure neuron coverage of the deep learning model by inputting the input image into the deep learning model, and an inspector configured to detect, based on a prediction result of the deep learning model for a class of the input image and a class of the original image, an error in the prediction result.
    Type: Grant
    Filed: May 26, 2021
    Date of Patent: October 24, 2023
    Assignee: INDUSTRY ACADEMY COOPERATION FOUNDATION OF SEJONG UNIVERSITY
    Inventors: Joo Beom Yun, Ji Hyeon Yu, Hyun Jun Mun
  • APPARATUS AND METHOD FOR DETERMINING VULNERABILITY OF DEEP LEARNING MODEL
    Publication number: 20220019675
    Abstract: An apparatus for determining a vulnerability of a deep learning model according to an embodiment includes a converter configured to generate an input image for the deep learning model by transforming an original image selected from an image dataset, a measurer configured to measure neuron coverage of the deep learning model by inputting the input image into the deep learning model, and an inspector configured to detect, based on a prediction result of the deep learning model for a class of the input image and a class of the original image, an error in the prediction result.
    Type: Application
    Filed: May 26, 2021
    Publication date: January 20, 2022
    Inventors: Joo Beom YUN, Ji Hyeon YU, Hyun Jun MUN