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US Patent 10198399 Cryptographically secure machine learning

Patent 10198399 was granted and assigned to KenSci on February, 2019 by the United States Patent and Trademark Office.

OverviewStructured DataIssuesContributors
Is a
Patent
Patent
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Current Assignee
KenSci
KenSci
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Date Filed
March 6, 2018
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Date of Patent
February 5, 2019
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Patent Applicant
KenSci
KenSci
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Patent Application Number
15913864
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Patent Citations Received
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US Patent 12105813 Secure on-premises to cloud connector framework
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US Patent 11855970 Systems and methods for blind multimodal learning
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US Patent 11991156 Systems and methods for secure averaging of models for federated learning and blind learning using secure multi-party computation
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US Patent 12002309 Systems and methods for managing vehicle data
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US Patent 12001965 Distributed privacy-preserving computing on protected data
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US Patent 12081410 Network entity for determining a model for digitally analyzing input data
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US Patent 12088565 Systems and methods for privacy preserving training and inference of decentralized recommendation systems from decentralized data
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US Patent 12107837 Cloud based machine learning notebook data loss prevention
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US Patent 11475374 Techniques for automated self-adjusting corporation-wide feature discovery and integration
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US Patent 10630468 Distributed multi-party security model training framework for privacy protection
•••
Patent Inventor Names
Kyle Josiah Fritchman
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Tyler John Hughes
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Anderson Nascimento
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Ankur Teredesai
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Martine Ivonne Leo De Cock
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
10198399
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Patent Primary Examiner
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Dave Misir
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