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US Patent 10572823 Optimizing a malware detection model using hyperparameters

Patent 10572823 was granted and assigned to CA (journal) on February, 2020 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
CA (journal)
CA (journal)
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
105728230
Patent Inventor Names
Aleatha Parker-Wood0
Ignacio Bermudez Corrales0
Reuben Feinman0
Ryan Curtin0
Date of Patent
February 25, 2020
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Patent Application Number
153774480
Date Filed
December 13, 2016
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Patent Citations Received
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US Patent 12003485 Outbound/inbound lateral traffic punting based on process risk
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US Patent 10931637 Outbound/inbound lateral traffic punting based on process risk
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US Patent 10970765 Generating user-customized items using a visually-aware image generation network
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US Patent 11055639 Optimizing manufacturing processes using one or more machine learning models
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US Patent 11694248 Deep generation of user-customized items
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US Patent 11915152 Learning coach for machine learning system
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Patent Primary Examiner
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Theodore C Parsons
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Patent abstract

The disclosed computer-implemented method for malware remediation may include constructing a malware detection model by (i) identifying multiple candidate hyperparameter sets, (ii) selecting, from the candidate hyperparameter sets, a set of hyperparameters for the malware detection model that optimizes a tradeoff between model efficacy and model size, and (iii) training the malware detection model on a set of training samples to distinguish between malicious samples and clean samples. After constructing the malware detection model, the disclosed computer-implemented method may also include using the constructed malware detection model to perform a security action. Various other methods, systems, and computer-readable media are also disclosed.

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