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:
Sep. 19, 2023

Filed:

Jan. 29, 2018
Applicants:

International Business Machines Corporation, Armonk, NY (US);

Indraprastha Institute of Information Technology (Iiit), Delhi, New Delhi, IN;

Inventors:

Gaurav Goswami, Karnataka, IN;

Sharathchandra Pankanti, Fairfield County, CT (US);

Nalini K. Ratha, Yorktown Heights, NY (US);

Richa Singh, New Delhi, IN;

Mayank Vatsa, New Delhi, IN;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06N 3/084 (2023.01); G10L 17/02 (2013.01); G06N 20/00 (2019.01); G06V 10/44 (2022.01); G06V 40/16 (2022.01); G06V 40/30 (2022.01); G06F 18/2413 (2023.01); G06V 10/82 (2022.01); G06F 18/241 (2023.01);
U.S. Cl.
CPC ...
G06N 3/084 (2013.01); G06F 18/2413 (2023.01); G06N 3/08 (2013.01); G06N 20/00 (2019.01); G06V 10/454 (2022.01); G06V 10/82 (2022.01); G06V 40/16 (2022.01); G06V 40/30 (2022.01); G10L 17/02 (2013.01); G06F 18/241 (2023.01);
Abstract

A neural network is configured to suppress an output of a mitigation node in a mitigation layer of the neural network. The neural network is pre-configured to recognize objects from inputs when operating using a processor and a memory. An actual input is sent to the neural network for object recognition, the actual input is an altered input. By suppressing the output of the mitigation node, the neural network is caused to avoid falsely recognizing an object from the actual input, where the altered input is configured to cause the neural network to falsely recognize the object from the actual input.


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