The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.

The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.

Date of Patent:
Aug. 13, 2024

Filed:

May. 03, 2021
Applicant:

Accenture Global Solutions Limited, Dublin, IE;

Inventors:

Neil Hayden Liberman, Arlington, VA (US);

Leah Ding, North Potomac, MD (US);

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06Q 50/00 (2024.01); G06F 18/214 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2023.01); G06Q 20/38 (2012.01); G06Q 50/26 (2012.01); G06T 3/40 (2006.01); G06T 7/11 (2017.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06V 40/40 (2022.01);
U.S. Cl.
CPC ...
G06Q 50/265 (2013.01); G06F 18/2148 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01); G06Q 20/3821 (2013.01); G06T 3/40 (2013.01); G06T 7/11 (2017.01); G06V 10/82 (2022.01); G06V 40/171 (2022.01); G06V 40/40 (2022.01); G06T 2207/20081 (2013.01); G06T 2207/20084 (2013.01); G06T 2207/20132 (2013.01); G06T 2207/30201 (2013.01);
Abstract

A device may receive training data for training a first machine learning model, a second machine learning model, and a third machine learning model and may train the first machine learning model, the second machine learning model, and the third machine learning model with the training data. The device may receive input content and may process the input content, with the first machine learning model, the second machine learning model, and the third machine learning model, to generate a first model result, a second model result, and a third model result, respectively. The device may process the first model result, the second model result, and the third model result, with an aggregation model, to generate a detection result indicating whether the particular input content is a deepfake or is real and may perform one or more actions based on the detection result.


Find Patent Forward Citations

Liberman, Neil. (2024). Utilizing multiple stacked machine learning models to detect deepfake content (U.S. Patent No. 12062105). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12062105

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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