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:
Feb. 13, 2024

Filed:

Mar. 16, 2020
Applicant:

Hitachi, Ltd., Tokyo, JP;

Inventor:

Tadayuki Matsumura, Tokyo, JP;

Assignee:

HITACHI, LTD., Tokyo, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/047 (2023.01); G06F 21/55 (2013.01); G06N 5/04 (2023.01); G06F 18/214 (2023.01); G06F 18/21 (2023.01); G06F 18/2413 (2023.01); G06N 3/045 (2023.01); G06V 10/74 (2022.01); G06V 10/762 (2022.01); G06V 10/778 (2022.01); G06V 10/82 (2022.01); G06V 10/44 (2022.01);
U.S. Cl.
CPC ...
G06F 21/554 (2013.01); G06F 18/214 (2023.01); G06F 18/217 (2023.01); G06F 18/24137 (2023.01); G06F 21/55 (2013.01); G06N 3/045 (2023.01); G06N 3/047 (2023.01); G06N 5/04 (2013.01); G06V 10/454 (2022.01); G06V 10/761 (2022.01); G06V 10/763 (2022.01); G06V 10/7796 (2022.01); G06V 10/82 (2022.01);
Abstract

To provide a robust information processing system against attacks by Adversarial Example. A neural network model, a latent space databasefor storing position information in a latent space in which first output vectors, which are output vectors of a predetermined hidden layer included in the neural network model, are embedded concerning input data used for learning of the neural network model, and an inference control unitfor making an inference using the neural network model and the latent space database are provided. The inference control unit infers the input data based on the positional relationship between the second output vector, which is an output vector of the predetermined hidden layer concerning input data to be inferred, and the first output vectors in said latent space.


Find Patent Forward Citations

Loading…