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:
Mar. 16, 2021

Filed:

Jun. 03, 2020
Applicant:

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

Inventors:

Krishna Narayanaswamy, Saratoga, CA (US);

Yi Zhang, Santa Clara, CA (US);

Xiaolin Wang, San Jose, CA (US);

Siying Yang, Cupertino, CA (US);

Assignee:

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

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06K 9/00 (2006.01); G06T 5/50 (2006.01); G06K 9/62 (2006.01); G06N 5/04 (2006.01); G06T 3/40 (2006.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06T 5/50 (2013.01); G06K 9/00463 (2013.01); G06K 9/6256 (2013.01); G06N 3/084 (2013.01); G06N 5/046 (2013.01); G06T 3/4046 (2013.01);
Abstract

Disclosed is detecting screenshot images and protecting against loss of sensitive screenshot image data. The method collects examples of screenshot images and non-screenshot images, creates labelled ground-truth data for the examples, and applies re-rendering of collected images to represent variations that may contain sensitive information. The method includes training a DL stack by forward inference and back propagation using labelled ground truth data for the screenshots, storing parameters of the trained DL stack for inference from production images, and using a production DL stack with the stored parameters to classify at least one production image by inference as containing a screenshot image. Further, DL stack includes a first set of layers closer to an input layer being pre-trained to perform image recognition before exposing a second set of layers further from the input layer of DL stack to the labelled ground truth data for the screenshot images and non-screenshot images.


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