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:
Jun. 10, 2025

Filed:

Feb. 03, 2020
Applicant:

Google Llc, Mountain View, CA (US);

Inventors:

Feng Yang, Sunnyvale, CA (US);

Hui Fang, Mountain View, CA (US);

Assignee:

GOOGLE LLC, Mountain View, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06V 20/80 (2022.01); G06V 10/40 (2022.01); G06V 10/771 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/00 (2022.01);
U.S. Cl.
CPC ...
G06V 20/80 (2022.01); G06V 10/40 (2022.01); G06V 10/771 (2022.01); G06V 10/774 (2022.01); G06V 10/82 (2022.01); G06V 20/95 (2022.01);
Abstract

This document describes techniques and apparatuses for verifying the authenticity of images. In aspects, methods include receiving, by a decoder system (), an image () to be verified; performing feature recognition on the received image to determine determined features () of the received image; generating a first output () defining values representing the determined features; decoding the received image, by a message decoding neural network (), to extract a signature () embedded in the received image, the embedded signature representing recovered features () of the received image; generating a second output () defining values representing the recovered features; providing the first output and the second output to a manipulation detection neural network (); and generating, by the manipulation detection neural network, an estimation of an authenticity of the received image utilizing at least the first output and the second output.


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