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US Patent 11853853 Providing human-interpretable explanation for model-detected anomalies

Patent 11853853 was granted and assigned to Rapid7 on December, 2023 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributorsActivity
Is a
Patent
Patent
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Current Assignee
Rapid7
Rapid7
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Date Filed
December 31, 2020
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Date of Patent
December 26, 2023
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Patent Applicant
Rapid7
Rapid7
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Patent Application Number
17139812
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Patent Citations
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US Patent 9843596 Anomaly detection in dynamically evolving data and systems
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US Patent 9906405 Anomaly detection and alarming based on capacity and placement planning
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US Patent 9910941 Test case generation
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US Patent 10235601 Method for image analysis
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US Patent 10270788 Machine learning based anomaly detection
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US Patent 10311368 Analytic system for graphical interpretability of and improvement of machine learning models
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US Patent 10372910 Method for predicting and characterizing cyber attacks
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US Patent 10599957 Systems and methods for detecting data drift for data used in machine learning models
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US Patent 10645601 Systems, methods, and devices for automatic signal detection with temporal feature extraction within a spectrum
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US Patent 10743778 System and method for pain monitoring using a multidimensional analysis of physiological signals
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•••
Patent Citations Received
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US Patent 12079312 Machine learning outlier detection using weighted histogram-based outlier scoring (W-HBOS)
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US Patent 12061692 Methods and systems for fingerprinting malicious behavior
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Patent Inventor Names
Vasudha Shivamoggi
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John Lim Oh
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Roy Donald Hodgman
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Jocelyn Beauchesne
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
11853853
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Patent Primary Examiner
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Daniel B Potratz
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