Patents by Inventor Phong Dinh

Phong Dinh 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).

  • Adaptive design and fabrication of radiation shielding inserts for electronic components
    Patent number: 11925009
    Abstract: A method includes obtaining a base housing for electronic components. The base housing attenuates radiation entering the base housing by a base amount. An inner volume of the base housing defined by an inner surface of the base housing experiences attenuated radiation. The method also includes affixing one or more inserts to the inner surface of the base housing to further attenuate the attenuated radiation in corresponding one or more areas of the inner volume.
    Type: Grant
    Filed: March 9, 2021
    Date of Patent: March 5, 2024
    Assignee: HAMILTON SUNDSTRAND CORPORATION
    Inventors: Darren Woodman, Phong Dinh
  • ADAPTIVE DESIGN AND FABRICATION OF RADIATION SHIELDING INSERTS FOR ELECTRONIC COMPONENTS
    Publication number: 20220295677
    Abstract: A method includes obtaining a base housing for electronic components. The base housing attenuates radiation entering the base housing by a base amount. An inner volume of the base housing defined by an inner surface of the base housing experiences attenuated radiation. The method also includes affixing one or more inserts to the inner surface of the base housing to further attenuate the attenuated radiation in corresponding one or more areas of the inner volume.
    Type: Application
    Filed: March 9, 2021
    Publication date: September 15, 2022
    Inventors: Darren Woodman, Phong Dinh
  • Enabling the Sharing of Privacy-safe Data with Deep Poisoning Functions
    Publication number: 20210141926
    Abstract: In one embodiment, a method includes accessing a first machine-learning model trained to generate a feature representation of an input data, a second machine-learning model trained to generate a desired result based on the feature representation, and a third machine-learning model trained to generate an undesired result based on the feature representation, and training a fourth machine-learning model by generating a secured feature representation by processing a first output of the first machine-learning model using the fourth machine-learning model, generating a second output and a third output by processing the secured feature representation using, respectively, the second and third machine-learning models, and updating the fourth machine-learning model according to an optimization function configured to optimize a correctness of the second output and an incorrectness of the third output.
    Type: Application
    Filed: February 13, 2020
    Publication date: May 13, 2021
    Inventors: Cristian Canton Ferrer, Brian Dolhansky, Hao Guo, Eric Erkon Hsin, Phong Dinh
  • Systems and methods for protecting data
    Patent number: 10915663
    Abstract: Systems, methods, and non-transitory computer-readable media can be configured to train a featurizer based at least in part on a set of training data. The featurizer can be applied to at least one input to generate at least one tensor. The at least one tensor obfuscates or excludes at least one feature in the at least one input.
    Type: Grant
    Filed: January 29, 2019
    Date of Patent: February 9, 2021
    Assignee: Facebook, Inc.
    Inventors: Cristian Canton Ferrer, Brian Dolhansky, Phong Dinh, Bryan Wu, Zhen Ling Tsai, Eric Erkon Hsin