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. 15, 2020

Filed:

Jun. 03, 2020
Applicant:

Netskope, Inc., Santa Clara, CA (US);

Inventors:

Siying Yang, Cupertino, CA (US);

Xiaolin Wang, San Jose, CA (US);

Krishna Narayanaswamy, Saratoga, CA (US);

Yi Zhang, Santa Clara, CA (US);

Assignee:

Netskope, Inc., Santa Clara, CA (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/62 (2013.01); G06N 20/00 (2019.01); G06F 21/60 (2013.01);
U.S. Cl.
CPC ...
G06F 21/6245 (2013.01); G06F 21/604 (2013.01); G06N 20/00 (2019.01);
Abstract

Disclosed is customizing a DL stack to detect organization sensitive data in images and protecting against loss of the sensitive documents, pre-training a master DL stack by forward inference and back propagation using labelled ground truth data for image-borne sensitive documents and other image documents. The DL stack includes layers closer to an input layer pre-trained to perform image recognition before exposing a second set of layers further from the input layer to the labelled ground truth data for the image-borne sensitive documents and other image documents. Disclosed is storing parameters of the trained master DL stack for inference from production images, distributing the stack with the stored parameters to organizations and permitting them to perform update training of the DL stack using examples of the organization sensitive data in images and to save parameters of the updated DL stacks, and use respective updated DL stacks to classify production images.


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