Training and configuration of DL stack to detect attempted exfiltration of sensitive screenshot-borne data
US12067493B2 · kind B2 · utility
Assignee
Inventors
Key dates
| Filing date | Mar 15, 2021 |
| Grant date | Aug 20, 2024 |
| Priority date | — |
| Expiry date | Apr 25, 2042 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG06V30/414
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
Disclosed are methods and systems for detecting screenshot images and protecting against loss of sensitive screenshot-borne data. One disclosed method includes collecting examples of the screenshot images and non-screenshot images and creating labelled ground-truth data for the examples. The method also includes applying re-rendering of at least some of the collected example screenshot images to represent different variations of screenshots that may contain sensitive information, and further includes training a deep learning stack by forward inference and back propagation using labelled ground-truth data for the screenshot images and the examples of the non-screenshot images. The method further includes using results of the back propagation to configure parameters of the trained DL stack for inference from images in production. Also disclosed is applying a screenshot robot to collect the examples of the screenshot images and non-screenshot images.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.