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Inpher-Oracle Cloud Marketplace Partnership Offers Privacy Preserving Ai/Ml Platform
-Inpher-Oracle Cloud Marketplace Partnership…
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Inpher Was Recognized in the Gartner® Hype Cycle™ for Data Security, 2023
-Inpher Mentioned In Secure…
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Inpher presents an Innovative solution for AML/CFT at the ACPR Banque de France TechSprint
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier Conferences
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Inpher Announces Strategic Partnership with In-Q-Tel
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Privacy Challenges in Extreme Gradient Boosting
-Editor’s note: This article was originally published on Amazon Science Blog by Dr. Dimitar Jetchev, CTO of Inpher and Joan…
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How to Build Machine Learning Models with Private Data Sources on AWS
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Inpher Wins Tech4Trust 2021 Startup Accelerator Program
-This article was originally published on AWS blogs by Conor Moran, Sr. Director, Business Development, Inpher.
AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS Marketplace, enables data scientists to train and run machine learning models while maintaining data privacy and without trading utility. Data analysis and machine learning performed by XOR can improve model performance with mathematically guaranteed data privacy while ensuring the data never leaves the data source.
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Inpher wins the iDASH Secure Genome Analysis Competition
-Advances in biomedical analytics and AI have revolutionized modern healthcare. Predictive systems in this field allow for better medical and…
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