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US Patent 10635813 Methods and apparatus for using machine learning on multiple file fragments to identify malware

Patent 10635813 was granted and assigned to Sophos on April, 2020 by the United States Patent and Trademark Office.

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Contents

Is a
Patent
Patent

Patent attributes

Patent Applicant
Sophos Group PLC
Sophos Group PLC
Current Assignee
Sophos Group PLC
Sophos Group PLC
Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
Patent Number
10635813
Date of Patent
April 28, 2020
Patent Application Number
15727035
Date Filed
October 6, 2017
Patent Citations
‌
US Patent 10193902 Methods and systems for malware detection
Patent Citations Received
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US Patent 11270205 Methods and apparatus for identifying the shared importance of multiple nodes within a machine learning model for multiple tasks
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US Patent 11941491 Methods and apparatus for identifying an impact of a portion of a file on machine learning classification of malicious content
0
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US Patent 11303653 Network threat detection and information security using machine learning
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US Patent 12010129 Methods and apparatus for using machine learning to classify malicious infrastructure
0
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US Patent 11947668 Methods and apparatus for preserving information between layers within a neural network
0
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US Patent 11574052 Methods and apparatus for using machine learning to detect potentially malicious obfuscated scripts
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US Patent 11003774 Methods and apparatus for detection of malicious documents using machine learning
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US Patent 11023576 Detecting malicious activity on a computer system
...
Patent Primary Examiner
‌
Longbit Chai
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