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US Patent 11785024 Deploying neural-trojan-resistant convolutional neural networks

Patent 11785024 was granted and assigned to University of South Florida on October, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
Current Assignee
University of South Florida
University of South Florida
Date Filed
March 22, 2021
Date of Patent
October 10, 2023
Patent Applicant
University of South Florida
University of South Florida
Patent Application Number
17208616
Patent Citations
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US Patent 11218502 Few-shot learning based intrusion detection method of industrial control system
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US Patent 11652827 Virtualized intrusion detection and prevention in autonomous vehicles
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US Patent 11470098 Terminal device and controlling method thereof
‌
US Patent 9721097 Neural attention mechanisms for malware analysis
‌
US Patent 10429486 Method and system for learned communications signal shaping
‌
US Patent 10805317 Implementing network security measures in response to a detected cyber attack
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US Patent 10873456 Neural network classifiers for block chain data structures
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US Patent 11075934 Hybrid network intrusion detection system for IoT attacks
Patent Inventor Names
Robert Anthony Karam
Brooks Allen Olney
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
11785024
Patent Primary Examiner
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Kambiz Zand

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