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. 08, 2022

Filed:

Mar. 30, 2020
Applicant:

International Business Machines Corporation, Armonk, NY (US);

Inventors:

Kathrin Grosse, Clausthal-Zellerfeld, DE;

Taesung Lee, Ridgefield, CT (US);

Youngja Park, Princeton, NJ (US);

Ian Michael Molloy, Chappaqua, NY (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/57 (2013.01); G06F 17/18 (2006.01); G06N 20/10 (2019.01); G06N 3/08 (2006.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06F 17/18 (2013.01); G06N 3/08 (2013.01); G06N 20/10 (2019.01);
Abstract

Mechanisms are provided to determine a susceptibility of a trained machine learning model to a cybersecurity threat. The mechanisms execute a trained machine learning model on a test dataset to generate test results output data, and determine an overfit measure of the trained machine learning model based on the generated test results output data. The overfit measure quantifies an amount of overfitting of the trained machine learning model to a specific sub-portion of the test dataset. The mechanisms apply analytics to the overfit measure to determine a susceptibility probability that indicates a likelihood that the trained machine learning model is susceptible to a cybersecurity threat based on the determined amount of overfitting of the trained machine learning model. The mechanisms perform a corrective action based on the determined susceptibility probability.


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