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:
Apr. 20, 2021

Filed:

Jun. 30, 2017
Applicant:

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

Inventors:

Patrice Godefroid, Mercer Island, WA (US);

Rishabh Singh, Kirkland, WA (US);

Hila Peleg, Tel Aviv, IL;

Assignee:
Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
G06F 11/07 (2006.01); H04L 29/06 (2006.01); G06F 11/36 (2006.01); G06N 20/00 (2019.01); G06N 7/04 (2006.01); G06N 3/08 (2006.01); G06N 3/04 (2006.01); G06F 40/44 (2020.01); G06F 40/216 (2020.01);
U.S. Cl.
CPC ...
G06F 11/0751 (2013.01); G06F 11/3604 (2013.01); G06F 11/3684 (2013.01); G06N 3/0445 (2013.01); G06N 3/0472 (2013.01); G06N 3/088 (2013.01); G06N 7/046 (2013.01); G06N 20/00 (2019.01); H04L 63/1433 (2013.01); G06F 11/362 (2013.01); G06F 11/3612 (2013.01); G06F 40/216 (2020.01); G06F 40/44 (2020.01);
Abstract

Provided are methods and systems for automatically generating input grammars for grammar-based fuzzing by utilizing machine-learning techniques and sample inputs. Neural-network-based statistical learning techniques are used for the automatic generation of input grammars. Recurrent neural networks are used for learning a statistical input model that is also generative in that the model is used to generate new inputs based on the probability distribution of the learnt model.


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