PRIMAL: a framework for secure evaluation of neural networks

This is a summary of the talk by Daniel Escudero at the OpenMined Privacy Conference 2020. Daniel Escudero talked about PRIMAL, a framewor

Adaptive Federated Optimization

In non-federated settings, adaptive optimization methods have desirable convergence properties. Can federated versions of these adaptive optimizers, including Adagrad, Adam, and Yogi facilitate better convergence in the presence of heterogeneous data?

Advances and Open Problems in Federated Learning

Summary of Peter Kairouz’s talk at the OpenMined Privacy Conference 2020.

Why Venture Capitalists are Interested in Privacy Investing Now

This is a conference talk summary from the OpenMined Privacy Conference 2020 Trends and predictions for privacy startups with:Morgan Mahloc

Duet Demo - How to do data science on data owned by a different organization

This is a summary of Duet Tutorial by Andrew Trask which was presented at OpenMined Privacy Conference 2020.Brief intro to federated learnin

What's in the TensorFlow Federated (TFF) box?

Summary of Krzysztof Ostrowski’s talk at the OpenMined Privacy Conference 2020

Tempered Sigmoid Activations for Deep Learning with Differential Privacy

Summary of Dr.Nicolas Papernot's talk at the OpenMined Privacy Conference 2020.

PrivacyRaven: Comprehensive Privacy Testing for Deep Learning

Summary of Suha S. Hussain’s talk at the OpenMined Privacy Conference 2020.

Conference Talk Summary: Privacy-Preserving Natural Language Processing by Fatemehsadat Mireshghallah

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

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

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

Can Privacy Technology Help Solve Cancer? Alzheimers? Dementia? Depression?

On Sept 26 & 27 • For your LOCAL times please see: agenda link The prevalence of noncommunicable diseases as well as the many challeng

Private Deep Learning of Medical Data for Hospitals using Federated Learning and Differential privacy

Featuring Dmitrii Usynin - Speaker at #PriCon2020 - Sept 26 & 27 With the upcoming OpenMined Private Conference 2020 around the corner

Companies have too much access to our data, while researchers often have too little. Which problem is OpenMined trying to solve?

Companies have too much access to our data, while researchers often have too little. Which problem is OpenMined trying to solve? Both.

GPT-3 is incredible. Privacy will make it truly realizable.

There has been an extraordinary amount of hype attributed to Open AI’s recent GPT-3 API launch —it is very well-deserved. GPT-3 is a rema