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:
Dec. 10, 2024

Filed:

May. 20, 2022
Applicant:

Royal Bank of Canada, Toronto, CA;

Inventors:

Giuseppe Marcello Antonio Castiglione, Toronto, CA;

Weiguang Ding, Toronto, CA;

Sayedmasoud Hashemi Amroabadi, Toronto, CA;

Ga Wu, Toronto, CA;

Christopher Côté Srinivasa, Toronto, CA;

Assignee:

ROYAL BANK OF CANADA, Toronto, CA;

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/00 (2013.01); G06F 21/57 (2013.01); G06N 3/048 (2023.01); G06N 3/08 (2023.01);
U.S. Cl.
CPC ...
G06F 21/577 (2013.01); G06N 3/048 (2023.01); G06N 3/08 (2013.01); G06F 2221/034 (2013.01);
Abstract

A system and method for adversarial vulnerability testing of machine learning models is proposed that receives as an input, a representation of a non-differentiable machine learning model, transforms the input model into a smoothed model and conducts an adversarial search against the smoothed model to generate an output data value representative of a potential vulnerability to adversarial examples. Variant embodiments are also proposed, directed to noise injection, hyperparameter control, and exhaustive/sampling-based searches in an effort to balance computational efficiency and accuracy in practical implementation. Flagged vulnerabilities can be used to have models re-validated, re-trained, or removed from use due to an increased cybersecurity risk profile.


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