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. 06, 2023

Filed:

Sep. 03, 2019
Applicant:

Salesforce.com, Inc., San Francisco, CA (US);

Inventors:

Lichao Sun, Chicago, IL (US);

Kazuma Hashimoto, Menlo Park, CA (US);

Jia Li, Mountain View, CA (US);

Richard Socher, Menlo Park, CA (US);

Caiming Xiong, Menlo Park, CA (US);

Assignee:

salesforce.com, inc., San Francisco, CA (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06N 3/08 (2023.01); G06F 40/232 (2020.01); G06N 3/045 (2023.01); G06N 3/008 (2023.01); G06N 3/044 (2023.01);
U.S. Cl.
CPC ...
G06N 3/008 (2013.01); G06F 40/232 (2020.01); G06N 3/044 (2023.01); G06N 3/045 (2023.01); G06N 3/08 (2013.01);
Abstract

A method for evaluating robustness of one or more target neural network models using natural typos. The method includes receiving one or more natural typo generation rules associated with a first task associated with a first input document type, receiving a first target neural network model, and receiving a first document and corresponding its ground truth labels. The method further includes generating one or more natural typos for the first document based on the one or more natural typo generation rules, and providing, to the first target neural network model, a test document generated based on the first document and the one or more natural typos as an input document to generate a first output. A robustness evaluation result of the first target neural network model is generated based on a comparison between the output and the ground truth labels.


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