Our mission at OpenMined is to make the world more privacy-preserving by lowering the barrier-to-entry to privacy-preserving technologies th
This post is part of our Privacy-Preserving Data Science, Explained series. With the advancements in the field of Artificial Intelligence, o
Interview with the Beta Bootcamp Tech Team, OpenMined's Featured Contributors for September 2020!
OpenMined aims to lower the barrier to entry in privacy preserving AI by offering a substantial fee free learning opportunity that can poten
Meaningful privacy and how it is applied in technology will be the focus of 60 privacy preserving leaders from around the globe during the
OpenMined has built vibrant relationships with numerous startups, who are leveraging privacy AI technologies as a core part of their offer
There is a good chance you are reading this article on a laptop, tablet, or smartphone. There is an even greater chance that thanks to a wo
On Sept 26 & 27 • For your LOCAL times please see: agenda link The prevalence of noncommunicable diseases as well as the many challeng
Featuring Dmitrii Usynin - Speaker at #PriCon2020 - Sept 26 & 27 With the upcoming OpenMined Private Conference 2020 around the corner
In this article I’ll attempt to untangle and disambiguate some terms that have emerged to describe different Federated Learning scenarios.
Companies have too much access to our data, while researchers often have too little. Which problem is OpenMined trying to solve? Both.
Encrypted inference with ResNet-18 using PyTorch + PySyft on ants & bees images
Third part of the series CKKS explained where we see how to build an HE system from RLWE, implement encryption, decryption, addition and multiplication.
This article briefly discusses the key ideas covered in Part 2 of this lecture by Andrew Trask, which is part of the MIT Deep Learning Serie
Second part of the series CKKS explained where we see how to implement CKKS encoder and decoder.
Photo by Jason Rosewell on UnsplashUpdate as of November 18, 2021: The version of PySyft mentioned in this post has been deprecated. An
The data protection market is estimated to reach $119 billion by 2022 — this projection highlights the pivotal role the field has in societ
Summary: This blog post provides a summary for each of the Research Talk's presented during the OpenMined Research Presentations: 25 July 20
First part of the series CKKS explained where we see how to implement a vanilla encoder and decoder.
Interview with Kritika Prakash, OpenMined's Featured Contributor for August 2020!
I learn best from toy code I can play with. This tutorial teaches Differentially Private Deep Learning using a recently released library called Opacus.
We are so proud to announce that OpenMined has been listed as a Digital Public Good! We are always working towards our mission to make the
