Patents by Inventor Saumil DAVE

Saumil DAVE 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).

  • System and method for watermarking a machine learning model
    Patent number: 12061678
    Abstract: Exemplary systems and methods are directed to embedding data into a machine learning model. A processing device executes program code for running a machine learning model, which has a plurality of parameter values. The processing device receives a message to be embedded into the machine learning model. The message is encrypted according to a set of keys of a cryptographic algorithm. The encrypted message is converted to a corresponding binary representation. The binary representation of the encrypted message is embedded into at least one of the one or more parameters of the machine learning model. The embedding operation modifies the at least one parameter value of the machine learning model.
    Type: Grant
    Filed: October 5, 2021
    Date of Patent: August 13, 2024
    Assignee: BOOZ ALLEN HAMILTON INC.
    Inventors: Clayton Davis, Saumil Dave, Baruch Gutow, Gabriella Melki
  • SYSTEM AND METHOD FOR WATERMARKING A MACHINE LEARNING MODEL
    Publication number: 20230105309
    Abstract: Exemplary systems and methods are directed to embedding data into a machine learning model. A processing device executes program code for running a machine learning model, which has a plurality of parameter values. The processing device receives a message to be embedded into the machine learning model. The message is encrypted according to a set of keys of a cryptographic algorithm. The encrypted message is converted to a corresponding binary representation. The binary representation of the encrypted message is embedded into at least one of the one or more parameters of the machine learning model. The embedding operation modifies the at least one parameter value of the machine learning model.
    Type: Application
    Filed: October 5, 2021
    Publication date: April 6, 2023
    Applicant: Booz Allen Hamilton Inc.
    Inventors: Clayton DAVIS, Saumil DAVE, Baruch GUTOW, Gabriella MELKI