Patents by Inventor Chaitanya Ghone

Chaitanya Ghone 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).

  • SECURE CONVOLUTIONAL NEURAL NETWORKS (CNN) ACCELERATOR
    Publication number: 20240086681
    Abstract: A CNN based-signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
    Type: Application
    Filed: November 14, 2023
    Publication date: March 14, 2024
    Inventors: Mihir Narendra Mody, Veeramanikandan Raju, Chaitanya Ghone, Deepak Poddar
  • Secure convolutional neural networks (CNN) accelerator
    Patent number: 11853857
    Abstract: A convolutional neural network (CNN)-based signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
    Type: Grant
    Filed: June 2, 2020
    Date of Patent: December 26, 2023
    Assignee: Texas Instruments Incorporated
    Inventors: Mihir Narendra Mody, Veeramanikandan Raju, Chaitanya Ghone, Deepak Poddar
  • SECURE CONVOLUTIONAL NEURAL NETWORKS (CNN) ACCELERATOR
    Publication number: 20200293859
    Abstract: A CNN based-signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
    Type: Application
    Filed: June 2, 2020
    Publication date: September 17, 2020
    Inventors: Mihir Narendra Mody, Veeramanikandan Raju, Chaitanya Ghone, Deepak Poddar
  • Secure convolutional neural networks (CNN) accelerator
    Patent number: 10706349
    Abstract: A Convolutional Neural Network (CNN) based-signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
    Type: Grant
    Filed: October 11, 2017
    Date of Patent: July 7, 2020
    Assignee: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Mihir Narendra Mody, Veeramanikandan Raju, Chaitanya Ghone, Deepak Poddar
  • SECURE CONVOLUTIONAL NEURAL NETWORKS (CNN) ACCELERATOR
    Publication number: 20190005375
    Abstract: A CNN based-signal processing includes receiving of an encrypted output from a first layer of a multi-layer CNN data. The received encrypted output is subsequently decrypted to form a decrypted input to a second layer of the multi-layer CNN data. A convolution of the decrypted input with a corresponding decrypted weight may generate a second layer output, which may be encrypted and used as an encrypted input to a third layer of the multi-layer CNN data.
    Type: Application
    Filed: October 11, 2017
    Publication date: January 3, 2019
    Applicant: TEXAS INSTRUMENTS INCORPORATED
    Inventors: Mihir Narendra Mody, Veeramanikandan Raju, Chaitanya Ghone, Deepak Poddar