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:
Oct. 10, 2023

Filed:

Mar. 22, 2021
Applicant:

University of South Florida, Tampa, FL (US);

Inventors:

Robert Anthony Karam, Temple Terrace, FL (US);

Brooks Allen Olney, Tampa, FL (US);

Assignee:

University of South Florida, Tampa, FL (US);

Attorneys:
Primary Examiner:
Assistant Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01); G06N 3/08 (2023.01); G06N 3/04 (2023.01);
U.S. Cl.
CPC ...
H04L 63/1416 (2013.01); G06N 3/04 (2013.01); G06N 3/08 (2013.01);
Abstract

In some implementation, a system for identifying malicious attacks on a convolutional neural network (CNN) model includes a target computing system that performs classification of objects using a CNN model, and an attack identification computing system that identifies an injected neural attack. The attack identification computing system can be configured to generate, based on the CNN model and associated parameters, an ecosystem of CNN models by modifying original weights of the parameters associated with the CNN model; update the original weights of the parameters with the modified weights; store, in a secure data store, the updated weights of the parameters; generate, based on the updated weights, an update file for the CNN model; update, using the update file, the CNN model; and transmit the updated CNN model to a targeting computing system configured to detect neural attacks by an attacker computing system based on the updated CNN model.


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