Patents by Inventor Amanda House

Amanda House 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).

  • Publication number: 20210097260
    Abstract: Methods, apparatus, systems and articles of manufacture are disclosed to detect deepfake content. An example apparatus to determine whether input media is authentic includes a classifier to generate a first probability based on a first output of a local binary model manager, a second probability based on a second output of a filter model manager, and a third probability based on a third output of an image quality assessor, a score analyzer to obtain the first, second, and third probabilities from the classifier, and in response to obtaining a first result and a second result, generate a score indicative of whether the input media is authentic based on the first result, the second result, the first probability, the second probability, and the third probability.
    Type: Application
    Filed: September 29, 2020
    Publication date: April 1, 2021
    Inventors: Utkarsh Verma, Sherin M. Mathews, Amanda House, Carl Woodward, Celeste Fralick, Jonathan King
  • Publication number: 20210097382
    Abstract: Methods, apparatus, systems and articles of manufacture to improve deepfake detection with explainability are disclosed. An example apparatus includes a deepfake classification model trainer to train a classification model based on a first portion of a dataset of media with known classification information, the classification model to output a classification for input media from a second portion of the dataset of media with known classification information; an explainability map generator to generate an explainability map based on the output of the classification model; a classification analyzer to compare the classification of the input media from the classification model with a known classification of the input media to determine if a misclassification occurred; and a model modifier to, when the misclassification occurred, modify the classification model based on the explainability map.
    Type: Application
    Filed: September 27, 2019
    Publication date: April 1, 2021
    Inventors: Sherin M. Mathews, Shivangee Trivedi, Amanda House, Celeste R. Fralick, Steve Povolny, Steve Grobman
  • Publication number: 20210034986
    Abstract: Example apparatus disclosed herein generate blocks of a blockchain, the blockchain to store a neural network that has input nodes, hidden nodes and output nodes, with respective ones of the blocks of the blockchain including respective code and respective data to represent corresponding ones of the output nodes of the neural network, a first one of the blocks including first code and first data to implement operations to be performed by a first one of the output nodes, the hidden nodes and the input nodes on input data applied to the neural network to determine an output of the first one of the output nodes. Disclosed example apparatus also train the neural network to determine at least portions of the respective data to include in the respective ones of the blocks of the blockchain, and forward the blockchain to a server that is to distribute the neural network to client(s).
    Type: Application
    Filed: July 30, 2019
    Publication date: February 4, 2021
    Inventors: Amanda House, Celeste R. Fralick, Eric Wuehler, Sherin Mathews
  • Publication number: 20090074932
    Abstract: A protein-fortified frozen dessert formulation and the process for making it are described. In particular, a sweet mix of 10-20% w/w sugar, 0-10% w/w flavouring, 0-20% w/w fat, 10-15% w/w milk solids, 0-11% w/w protein and 50-65% w/w water is prepared, preheated, pasteurized, homogenized and aged. The aged sweet-mix is then blended with yogurt and optionally more protein prior to freezing. Alternatively, a mix of 10-20% w/w sugar, 0-10% w/w flavouring, 0-20% w/w fat, 10-15% w/w milk solids, 5-15% w/w protein, 5-20% yogurt and 50-65% w/w water is prepared, preheated, pasteurized, homogenize and aged and frozen to a low target overrun.
    Type: Application
    Filed: December 20, 2006
    Publication date: March 19, 2009
    Inventors: Robert Swan, Christopher Delaney, Amanda House