Conference Summary: End-to-end privacy-preserving deep learning on multi-institutional medical imaging data

Speaker: Dr.Georgios Kaisssis, MHBA Video Link: https://www.youtube.com/watch?v=F46lX5VIoas&t=21m50s Motivation:AI in medical imaging

Privacy Teaching Series: What is Functional Encryption?

Providing encryption to data is good, but to allow working on the encrypted data can be much more beneficial. Here, we explain the concept of Functional Encryption and give a brief comparison with Homomorphic Encryption.

Conference talk summary: Fatemehsadat Mireshghallah - Privacy preserving natural language processing

This blog post summarises Fatemeh's Talk on privacy preserving NLP, showing the threats and mitigations with vulnerabilities in the NLP pipeline.

Notes from OM August Paper Session

The Reviewed Paper: Preserving Differential Privacy in Convolutional Deep Belief Networks (💐Authors: Nhat Hai Phan, Xintao Wu, Dejing Dou)

CKKS explained, Part 5: Rescaling

Fifth part of the series CKKS explained where we see how to define rescaling

Privacy-Preserving Tech - Tools for Safe Data Use

Across research institutions, personal devices, and private companies, humankind is gathering a huge amount of information about ourselves a

Conference Talk Summary: Helen Nissenbaum - Privacy, Contextual Integrity, and Obfuscation

Dr. Helen Nissenbaum is one of the world’s most influential philosophers in the privacy space. She is the author of “Privacy in Context: Tec

Announcing the Private AI Series

New paradigms and skills are spread most effectively through education, so we’re building an entirely new learning platform starting with a series of courses on privacy-preserving machine learning.

What is e-voting, and which problems could it help solve?

The delayed results in the 2020 U.S. election has fueled accusations of fraud, which may yet spill into civil unrest. This blog looks at e-voting as a possible solution to the problems at the heart of this election.

Duet & OpenGrid - Infrastructure for Easy Remote Data Science

Learn from data, without sacrificing privacy.

Federated Learning on Vessel Segmentation

It is a challenging task to acquire medical data for the deep learning models to train on. This blog gives a demo of how we can use Federated Learning to train our model on additional data without compromising the privacy of that data.

CKKS explained, Part 4: Multiplication and Relinearization

Fourth part of the series CKKS explained where we see how to define ciphertext multiplication and relinearization

OpenMined mentioned in State Of AI Report 2020

We're proud to announce that OpenMined was recently mentioned in the State of AI Report 2020. Since OpenMined's inception in 2017, the commu

OpenMined Featured Contributor: October 2020

Interview with Chris Briggs, OpenMined's Featured Contributor for October 2020!

How to setup PySyft on Windows 10

In this tutorial, you are going to learn how to setup PySyft, a privacy-preserving machine learning framework, on Windows 10.

OpenMined + Gensyn Partnership for Federated Learning within Finance

Our mission at OpenMined is to make the world more privacy-preserving by lowering the barrier-to-entry to privacy-preserving technologies th

OpenMined + Devron partnership for Cross-Organization Federated Learning

Our mission at OpenMined is to make the world more privacy-preserving by lowering the barrier-to-entry to privacy-preserving technologies th

What are Zero Knowledge Proofs?

This post is part of our Privacy-Preserving Data Science, Explained series. With the advancements in the field of Artificial Intelligence, o

PySyft + Opacus: Federated Learning with Differential Privacy

We use Opacus from PyTorch and PySyft from OpenMined to combine Federated Learning with Differential Privacy.

OpenMined Featured Contributors: September 2020

Interview with the Beta Bootcamp Tech Team, OpenMined's Featured Contributors for September 2020!

What it's like to join the OpenMined Community

OpenMined aims to lower the barrier to entry in privacy preserving AI by offering a substantial fee free learning opportunity that can poten

What is [Meaningful Privacy]*

Meaningful privacy and how it is applied in technology will be the focus of 60 privacy preserving leaders from around the globe during the

Privacy AI startups & the OpenMined open-source community

OpenMined has built vibrant relationships with numerous startups, who are leveraging privacy AI technologies as a core part of their offer

Collecting the Debt to the Women of the Artificial Intelligence Community

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