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:
Nov. 26, 2024

Filed:

Sep. 21, 2022
Applicant:

Microsoft Technology Licensing, Llc., Redmond, WA (US);

Inventors:

Aaron Yue-Chiu Chan, Provo, UT (US);

Colin Bruce Clement, Seattle, WA (US);

Yevhen Mohylevskyy, Redmond, WA (US);

Neelakantan Sundaresan, Bellevue, WA (US);

Roshanak Zilouchian Moghaddam, Kirkland, WA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 2221/034 (2013.01);
Abstract

A neural classifier model is used to detect cybersecurity vulnerabilities in the source code predicted by a deep learning code generation model having been trained on source code possibly containing security bugs. Upon the classifier model classifying a given source code snippet as likely containing a cybersecurity vulnerability, a proposed repair for the cybersecurity vulnerability is predicted from a neural decoder transformer model having been trained on non-vulnerable source code. The neural decoder transformer model is used to predict source code that repairs the cybersecurity vulnerability given the source code classified with a cybersecurity vulnerability.


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