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:
Jan. 20, 2026

Filed:

Aug. 16, 2022
Applicant:

The Regents of the University of California, Oakland, CA (US);

Inventors:

Mohammad Abdullah Al Faruque, Irvine, CA (US);

Rozhin Yasaei, Irvine, CA (US);

Shih-Yuan Yu, Irvine, CA (US);

Assignee:
Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 21/71 (2013.01); G06F 21/56 (2013.01);
U.S. Cl.
CPC ...
G06F 21/71 (2013.01); G06F 21/56 (2013.01);
Abstract

The present invention is directed to an automated methodology based on GNN to model IC and mitigate hardware security threats. The present invention features a system for detecting hardware Trojans and IP piracy in a circuit. The system may be based on a GNN. The system may convert a plurality of base-level files from the circuit into a graph, convert this graph into a vectorized graph embedding through the use of the GNN, and use the vectorized graph embedding to identify and remedy potential hardware Trojans as well as identify potential IP piracy between two different circuits.


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Al Faruque, Mohammad. (2026). Automation methodology based on graph neural networks to model integrated circuits and mitigate hardware security threats (U.S. Patent No. 12530504). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12530504

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile

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