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.
Flying Fuzzy: A Privacy Preserved No-Fly List for Global Airlines Using Fuzzy String Matching
-Introduction As of February 22nd, the Federal Aviation Administration has reported that there have been 607 reports to the…
Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning (Part 2)
-Authors: Prof. Bogdan Draganski (Director, LREN), Dr. Ferath Kherif (Vice Director, LREN), Claudio Calvaruso (Technical Account Manager, Inpher) and Dr. Dimitar Jetchev (CTO, Inpher) Editors Note: This is the second in a series of articles that LREN – CHUV and Inpher are jointly publishing to show how privacy-preserving…
