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News
Jul 11, 2022 5 mins

Inpher’s Research on Privacy-Preserving Machine Learning Published in Two Premier…

As our reliance on data grows, the need for data privacy becomes even more critical to everyone – and for businesses, an imperative. For Inpher, our focus has been on two...

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Blog
Jun 5, 2022 5 mins

How DataCo is Reinventing Data Partnerships by Putting Privacy-Enhancing Technologies…

Think of all the great customer experiences you have ever had! Those unexpected business class upgrades or Netflix “on-the-house” as a part of your cell phone plans....

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News
May 17, 2022 2 mins

Inpher Announces Strategic Partnership with In-Q-Tel

We are thrilled to announce today a strategic partnership with In-Q-Tel (IQT), a not-for-profit organization that identifies and accelerates the development and delivery of...

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Blog
Mar 10, 2022 8 mins

Flying Fuzzy: A Privacy Preserved No-Fly List for Global Airlines…

Since 2020, airlines have been dealing with a rash of irate, disruptive, and violent passengers, resulting in many of those travelers being banned from their future flights....

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Blog
Feb 21, 2022 12 mins

Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning…

This second of the three-part blog series describes two privacy-preserving machine learning models (linear and logistic regression) for detecting Alzheimer's disease. The...

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Blog
Dec 21, 2021 12 mins

Neuroimaging Based Diagnosis of Alzheimer’s Disease Using Privacy-Preserving Machine Learning…

In this first of a three-part blog series, we present a viable solution designed by clinical researchers at CHUV and Inpher aiming to build privacy-preserving...

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Blog
Dec 7, 2021 17 mins

Building Privacy-Preserving Decision Tree Models Using Multi-Party Computation

Machine learning (ML) is increasingly important in a wide range of applications, including market forecasting, service personalization, voice and facial recognition,...

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News
Jun 22, 2021 9 mins

Privacy Challenges in Extreme Gradient Boosting

Machine learning (ML) is increasingly important in a wide range of applications, including market forecasting, service personalization, voice and facial recognition,...

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News
Apr 28, 2021 2 mins

How to Build Machine Learning Models with Private Data Sources…

AWS users occasionally need to perform analysis on data sources containing private or sensitive inputs. Inpher’s XOR Secret Computing Platform, available in AWS...

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News
Apr 8, 2021 2 mins

Inpher Wins Tech4Trust 2021 Startup Accelerator Program

Organizations today face unprecedented challenges in leveraging the data they own: access to sensitive data needs to be controlled more efficiently; authentication methods...

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Blog
Feb 26, 2021 7 mins

EU and U.S. Policymakers Emphasize Privacy-Enhancing Technologies as a Shared…

Many consumers use phones and IoT devices that rely on FL every day without knowing what it is. This means that the novelty of FL is shielding scrutiny on its inherent—and...

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Blog
Feb 23, 2021 9 mins

The Privacy Risk Right Under Our Nose in Federated Learning

Many consumers use phones and IoT devices that rely on FL every day without knowing what it is. This means that the novelty of FL is shielding scrutiny on its inherent—and...

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News
Dec 9, 2020 3 mins

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 epidemiological research, as well...

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News
Nov 19, 2020 2 mins

Accelerating Moore4Medical’s Innovation: Ensuring Patient Privacy in Healthcare AI

Moore4Medical is a project pioneered by Philips, leading healthcare providers and hospitals in Europe. Inpher is one of the four Swiss companies selected by this consortium,...

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Blog
Oct 20, 2020 7 mins

Better ESG Benchmarking with Secret Computing®

As asset flows continue to pour into environmental, social and governance (ESG) factored investments, the problem of establishing reliable benchmarks continues to persist....

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