Patents by Inventor Dan QUACH

Dan QUACH 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).

  • Patent number: 12671584
    Abstract: Methods and systems are described herein for generating deep-linked stochastic image representations of access tokens that embed token access deep links on a mobile application interface. The system may obtain, in connection with a request to register an access token with an account, token data associated with the access token and event data associated with one or more events performed with the access token. The system may generate, for input to a stochastic machine learning model, input vectors using the token data and the event data. The system may obtain, via the stochastic machine learning model based on the input vectors, an image for the access token and may generate, for display on a user interface associated with the account, an image representation of the access token including the image and a deep link to functionality associated with the access token.
    Type: Grant
    Filed: November 10, 2023
    Date of Patent: June 30, 2026
    Assignee: Capital One Services, LLC
    Inventors: Maximo Moyer, Dwipam Katariya, Dan Quach, Joshua Edwards, Michael Mossoba, Tyler Maiman, Benjamin Eng, Youbing Yin
  • Patent number: 12598072
    Abstract: Methods and systems are described herein for facilitating token use authentication for access tokens using stochastic images. The system may detect an authentication request to authenticate use of an access token. The access token may be associated with a first image previously displayed to an authenticated user of the access token. The system may retrieve the first image previously displayed to the authenticated user and input parameters previously used to generate the first image. The system may obtain, from a stochastic machine learning model based on the input parameters, a second image different from the first image. The system may generate, for display, an image set including the first image and the second image and may receive a selection of the first image from the image set. The system may then grant the authentication request based on the selection of the first image.
    Type: Grant
    Filed: November 10, 2023
    Date of Patent: April 7, 2026
    Assignee: Capital One Services, LLC
    Inventors: Joshua Edwards, Michael Mossoba, Tyler Maiman, Benjamin Eng, Youbing Yin, Dwipam Katariya, Dan Quach, Maximo Moyer
  • Publication number: 20250159001
    Abstract: Methods and systems are described herein for identifying malicious activity using deep-linked items related to stochastic images. The system may receive event data associated with an event performed in connection with a token. The system may generate a token embedding based on the event data and may obtain, via a stochastic machine learning model based on the token embedding, an image related to the event. The system may generate, for display, the image and the event data. In some embodiments, the image may be deep-linked to functionality for submitting feedback relating to the event. The system may receive feedback related to the image indicating an invalid event. Based on the feedback related to the image, the system may perform a remedial action related to the token or to the event.
    Type: Application
    Filed: November 10, 2023
    Publication date: May 15, 2025
    Applicant: Capital One Services, LLC
    Inventors: Joshua EDWARDS, Michael MOSSOBA, Tyler MAIMAN, Benjamin ENG, Youbing YIN, Dwipam KATARIYA, Dan QUACH, Maximo MOYER
  • Publication number: 20250158822
    Abstract: Methods and systems are described herein for facilitating token use authentication for access tokens using stochastic images. The system may detect an authentication request to authenticate use of an access token. The access token may be associated with a first image previously displayed to an authenticated user of the access token. The system may retrieve the first image previously displayed to the authenticated user and input parameters previously used to generate the first image. The system may obtain, from a stochastic machine learning model based on the input parameters, a second image different from the first image. The system may generate, for display, an image set including the first image and the second image and may receive a selection of the first image from the image set. The system may then grant the authentication request based on the selection of the first image.
    Type: Application
    Filed: November 10, 2023
    Publication date: May 15, 2025
    Applicant: Capital One Services, LLC
    Inventors: Joshua EDWARDS, Michael MOSSOBA, Tyler MAIMAN, Benjamin ENG, Youbing YIN, Dwipam KATARIYA, Dan QUACH, Maximo MOYER
  • Publication number: 20250158821
    Abstract: Methods and systems are described herein for generating deep-linked stochastic image representations of access tokens that embed token access deep links on a mobile application interface. The system may obtain, in connection with a request to register an access token with an account, token data associated with the access token and event data associated with one or more events performed with the access token. The system may generate, for input to a stochastic machine learning model, input vectors using the token data and the event data. The system may obtain, via the stochastic machine learning model based on the input vectors, an image for the access token and may generate, for display on a user interface associated with the account, an image representation of the access token including the image and a deep link to functionality associated with the access token.
    Type: Application
    Filed: November 10, 2023
    Publication date: May 15, 2025
    Applicant: Capital One Services, LLC
    Inventors: Maximo MOYER, Dwipam KATARIYA, Dan QUACH, Joshua EDWARDS, Michael MOSSOBA, Tyler MAIMAN, Benjamin ENG, Youbing YIN