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. 31, 2024

Filed:

Nov. 07, 2019
Applicant:

Servicenow Canada Inc., Montreal, CA;

Inventors:

Archy Otto De Berker, Montreal, CA;

Philippe Guay, Montreal, CA;

Dominique Tourillon, Montreal, CA;

Etienne Marcotte, Montreal, CA;

Assignee:

ServiceNow Canada Inc., Montreal, CA;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06F 18/21 (2023.01); G06F 18/214 (2023.01); G06N 3/08 (2023.01); G06V 10/82 (2022.01); G06V 30/19 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
U.S. Cl.
CPC ...
G06F 21/6254 (2013.01); G06F 18/214 (2023.01); G06F 18/2178 (2023.01); G06F 21/6245 (2013.01); G06N 3/08 (2013.01); G06V 10/82 (2022.01); G06V 30/19167 (2022.01); G06V 30/19173 (2022.01); G06V 30/414 (2022.01); G06V 30/416 (2022.01);
Abstract

Systems and methods relating to the replacement or removal of sensitive data in images of documents. An initial image of a document with sensitive data is received at an execution module and changes are made based on the execution module's training. The changes include replacing or effectively removing the sensitive data from the image of the document. The resulting sanitized image is then sent to a user for validation of the changes. The feedback from the user is then used in training the execution module to refine its behaviour when applying changes to other initial images of documents. To train the execution module, training data sets of document images with sensitive data manually tagged by users are used. The execution module thus learns to identify sensitive data and its submodules replace that sensitive data with suitable replacement data. The feedback from the user works to improve the resulting sanitized images from the execution module.


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