Patents by Inventor Ahmadreza Mosallanezhad

Ahmadreza Mosallanezhad 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).

  • Systems and methods for utility-preserving deep reinforcement learning-based text anonymization
    Patent number: 11907666
    Abstract: Various embodiments of a system and associated method for anonymization of text without losing semantic utility of text by extracting a latent embedding representation of content with respect to a given task and by learning an optimal strategy for text embedding manipulation to satisfy both privacy and utility requirements are disclosed herein. In particular, the system balances private attribute obfuscation with retained semantic utility.
    Type: Grant
    Filed: November 16, 2021
    Date of Patent: February 20, 2024
    Assignee: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu
  • SYSTEMS AND METHODS FOR UTILITY-PRESERVING DEEP REINFORCEMENT LEARNING-BASED TEXT ANONYMIZATION
    Publication number: 20220374606
    Abstract: Various embodiments of a system and associated method for anonymization of text without losing semantic utility of text by extracting a latent embedding representation of content with respect to a given task and by learning an optimal strategy for text embedding manipulation to satisfy both privacy and utility requirements are disclosed herein. In particular, the system balances private attribute obfuscation with retained semantic utility.
    Type: Application
    Filed: November 16, 2021
    Publication date: November 24, 2022
    Applicant: Arizona Board of Regents on Behalf of Arizona State University
    Inventors: Ahmadreza Mosallanezhad, Ghazaleh Beigi, Huan Liu