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. 21, 2023

Filed:

Oct. 20, 2020
Applicant:

Sony Interactive Entertainment Inc., Tokyo, JP;

Inventors:

Mark Jacobus Breugelmans, London, GB;

Oliver Hume, London, GB;

Fabio Cappello, London, GB;

Nigel John Williams, London, GB;

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06F 21/62 (2013.01); H04N 1/44 (2006.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01);
U.S. Cl.
CPC ...
G06N 3/08 (2013.01); G06F 18/214 (2023.01); G06F 18/241 (2023.01); G06F 21/6218 (2013.01); G06V 10/30 (2022.01); G06V 10/40 (2022.01); G06V 10/764 (2022.01); G06V 10/82 (2022.01); H04N 1/4486 (2013.01);
Abstract

An encoding apparatus is provided. The apparatus comprises an input unit operable to obtain a plurality of training images, said training images being for use in training a machine learning model. The apparatus also comprises a label unit operable to obtain a class label associated with the training images; and a key unit operable to obtain a secret key for use in encoding the training images. The apparatus further comprises an image noise generator operable to generate, based on the obtained secret key, noise for introducing into the training images. The image noise generator is configured to generate noise that correlates with the class label associated with the training images such that a machine learning model subsequently trained with the modified training images learns to associate the introduced noise with the class label for those images. A corresponding decoding apparatus is also provided.


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