Patents by Inventor Tajuddin Manhar Mohammed

Tajuddin Manhar Mohammed 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).

  • DETECTING DIGITAL IMAGE MANIPULATIONS
    Publication number: 20240070467
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Application
    Filed: October 26, 2023
    Publication date: February 29, 2024
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • Detecting digital image manipulations
    Patent number: 11836634
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Grant
    Filed: June 7, 2022
    Date of Patent: December 5, 2023
    Assignee: Mayachitra, Inc.
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • DETECTING DIGITAL IMAGE MANIPULATIONS
    Publication number: 20220318569
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Application
    Filed: June 7, 2022
    Publication date: October 6, 2022
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • MALWARE DETECTION USING FREQUENCY DOMAIN-BASED IMAGE VISUALIZATION AND DEEP LEARNING
    Publication number: 20220311782
    Abstract: Systems and methods herein describe a malware visualization system that is configured to access a computer file, generate a first image of the computer file, determine a frequency count of bi-grams in the computer file, compute a discrete cosine transform (DCT) of the frequency count of bi-grams, generate a second image of the computer file based on the DCT of the frequency count of bi-grams, analyze the first image and the second image using an image classification neural network and generate a classification of the computer file.
    Type: Application
    Filed: March 24, 2021
    Publication date: September 29, 2022
    Inventors: Tajuddin Manhar Mohammed, Lakshmanan Nataraj, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • Detecting digital image manipulations
    Patent number: 11429812
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Grant
    Filed: February 26, 2020
    Date of Patent: August 30, 2022
    Assignee: Mayachitra, Inc.
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran
  • DETECTING DIGITAL IMAGE MANIPULATIONS
    Publication number: 20210209415
    Abstract: Systems, devices, methods and instructions are described for detecting GAN generated images. On embodiment involves receiving an images, generating co-occurrence matrices on color channels of the image, generating analysis of the image by using a convolutional neural network trained to analyze image features of the images based on the generated co-occurrence matrices and determining whether the image is a GAN generated image based on the analysis.
    Type: Application
    Filed: February 26, 2020
    Publication date: July 8, 2021
    Inventors: Lakshmanan Nataraj, Tajuddin Manhar Mohammed, Tejaswi Nanjundaswamy, Michael Gene Goebel, Bangalore S. Manjunath, Shivkumar Chandrasekaran