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. 13, 2026

Filed:

Sep. 15, 2023
Applicant:

Avast Software S.r.o., Prague, CZ;

Inventors:

Yue Zhao, Pittsburgh, PA (US);

Acar Tamersoy, Culver City, CA (US);

Kevin Roundy, El Segundo, CA (US);

Daniel Kats, Torrance, CA (US);

Michalis Pachilakis, Dublin, IE;

Assignee:

Avast Software s.r.o., Prague, CZ;

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
H04L 9/40 (2022.01);
U.S. Cl.
CPC ...
H04L 63/1425 (2013.01); H04L 63/102 (2013.01);
Abstract

A machine learning model is trained to classify data as malicious or benign, including receiving the machine learning model in a user device and training the machine learning model on the user device user-generated data that has been classified as known benign. A result of the training is sent to a remote server. Training samples on the user device may be classified automatically, such as classifying sent emails, instant messages, or other content generated by the user as benign.


Find Patent Forward Citations

Zhao, Yue. (2026). One-class threat detection using federated learning (U.S. Patent No. 12764143). U.S. Patent and Trademark Office. https://idiyas.com/patent/badge/12764143

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

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