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:
Dec. 19, 2023

Filed:

Sep. 18, 2019
Applicant:

Nippon Telegraph and Telephone Corporation, Tokyo, JP;

Inventors:

Rina Okada, Musashino, JP;

Satoshi Hasegawa, Musashino, JP;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/00 (2013.01); G06F 21/57 (2013.01); G06N 20/00 (2019.01); G06F 18/24 (2023.01); G06F 18/214 (2023.01); G06V 30/19 (2022.01); G06V 10/778 (2022.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 18/2155 (2023.01); G06F 18/24 (2023.01); G06N 20/00 (2019.01); G06V 10/778 (2022.01); G06V 30/19007 (2022.01); G06F 2221/033 (2013.01);
Abstract

A learning device estimating apparatus aims at a learning device as an attack target, and comprises a recording part, an inquiring part, a capturing part and a learning part. A predetermined plurality of pieces of observation data are recorded. The inquiring part inquires of the attack target learning device for each of the pieces of observation data recorded in the recording part to acquire label data and records the acquired label data to the recording part in association with observation data. The capturing part inputs the observation data and the label data associated with the observation data that have been recorded to the recording part, to the learning part. The learning part is characterized by using an activation function that outputs a predetermined ambiguous value in a process for determining a classification prediction result, and the learning part performs learning using the inputted observation data and label data.


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