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:
Nov. 18, 2025

Filed:

Sep. 22, 2021
Applicant:

Intel Corporation, Santa Clara, CA (US);

Inventors:

Georg Stemmer, Munich, DE;

Carl Marshall, Portland, OR (US);

Satyam Srivastava, Rancho Cordova, CA (US);

Ilke Demir, Hermosa Beach, CA (US);

Assignee:

INTEL CORPORATION, Santa Clara, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 20/00 (2019.01); G06F 18/20 (2023.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 5/04 (2023.01); G06V 10/82 (2022.01); G06V 20/30 (2022.01); G06V 20/40 (2022.01);
U.S. Cl.
CPC ...
G06V 10/82 (2022.01); G06F 18/2148 (2023.01); G06F 18/217 (2023.01); G06F 18/285 (2023.01); G06N 5/04 (2013.01); G06N 20/00 (2019.01); G06V 20/30 (2022.01); G06V 20/41 (2022.01);
Abstract

An apparatus to facilitate deepfake detection models utilizing subject-specific libraries is disclosed. The apparatus includes one or more processors to store a plurality of deepfake detection models corresponding to a plurality of subjects of interest; receive a query to identify whether data pertaining to a target subject of interest is a deepfake, the target subject of interest comprised in the plurality of subjects of interest and associated with a subject identifier (ID); identify a deepfake detection model corresponding to the subject ID; extract features for deepfake detection from the data; input the extracted features to the identified deepfake detection model corresponding to the subject ID; and responsive to an output of the deepfake detection model exceeding a determined deepfake threshold, generate a notification, in response to the query, indicating a possible deepfake attack corresponding to the target subject of interest.


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