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:
Aug. 19, 2025

Filed:

Feb. 16, 2023
Applicant:

Capital One Services, Llc, McLean, VA (US);

Inventors:

Galen Rafferty, Mahomet, IL (US);

Samuel Sharpe, Cambridge, MA (US);

Brian Barr, Schenectady, NY (US);

Jeremy Goodsitt, Champaign, IL (US);

Michael Davis, Arlington, VA (US);

Taylor Turner, Richmond, VA (US);

Justin Au-Yeung, Somerville, MA (US);

Owen Reinert, Queens, NY (US);

Assignee:

Capital One Services, LLC, McLean, VA (US);

Attorney:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); H04L 41/16 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1491 (2013.01); H04L 41/16 (2013.01); H04L 63/1416 (2013.01);
Abstract

In some aspects, a computing system may iterate between adding spurious data to the dataset and training a model on the dataset. If the model's performance has not dropped by more than a threshold amount, then additional spurious data may be added to the dataset until the desired amount of performance decrease has been achieved. the computing system may determine the amount of impact each feature has on a model's output. The computing system may generate a spurious data sample by modifying values of features that are more impactful than other features. The computing system may repeatedly modify the spurious data that is stored in a dataset. If a cybersecurity incident occurs (e.g., the dataset is stolen or leaked), the system may identify when the cybersecurity incident took place based on the spurious data that is stored in the dataset.


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