Surveillance capitalism - where do privacy tools fit in this discussion? Can they be part of the solution?

Summary :-   In this blog post we’re going to discuss the rising awareness of surveillance capitalism and how the existing and “in research”

Encrypted Inference using ResNet-18

Encrypted inference with ResNet-18 using PyTorch + PySyft on ants & bees images

CKKS explained, Part 3: Encryption and Decryption

Third part of the series CKKS explained where we see how to build an HE system from RLWE, implement encryption, decryption, addition and multiplication.

Privacy Preserving AI Summary Part 2: MIT Deep Learning Series

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

CKKS explained, Part 2: Full Encoding and Decoding

Second part of the series CKKS explained where we see how to implement CKKS encoder and decoder.

Speech Command Prediction with Federated Learning

Photo by Jason Rosewell on UnsplashPrivate conversation is everywhere. If you talk to your wife, it’s obviously a private conversation.

A list of Companies, Startups, and Projects in the Privacy Space

The data protection market is estimated to reach $119 billion by 2022 — this projection highlights the pivotal role the field has in societ

Summarizing OpenMined Research Presentations: 25 July 2020

Summary: This blog post provides a summary for each of the Research Talk's presented during the OpenMined Research Presentations: 25 July 20

CKKS explained: Part 1, Vanilla Encoding and Decoding

First part of the series CKKS explained where we see how to implement a vanilla encoder and decoder.

OpenMined Featured Contributor: August 2020

Interview with Kritika Prakash, OpenMined's Featured Contributor for August 2020!

(Build PATE Differential Privacy in Pytorch)

Summary:  In this blog we’re going to discuss PATE - "Private Aggregation of Teacher Ensembles".  PATE is a private machine learning techniq

Differentially Private Deep Learning in 20 lines of code: How to use the PyTorch Opacus Library

I learn best from toy code I can play with. This tutorial teaches Differentially Private Deep Learning using a recently released library called Opacus.

OpenMined is officially listed as a Digital Public Good!

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

OpenMined + GENBU Partnership for Open-Source Development

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

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

How GANs can cause a Privacy Breach in Federated Deep Learning

Research has shown that it is possible to launch an attack where a malicious user uses Generative adversarial network (GANs) to recreate sam

How to Get Involved in OpenMined

OpenMinedOpenMined is an open source organisation whose mission is to lower the barrier to entry to privacy preserving technology. Thank you

What is PyVertical?

This post is part of our Privacy-Preserving Data Science, Explained series. In this post, we cover: A brief outline of basic concepts: an ex

Announcing Monthly Paper Session

“Nothing in life is to be feared, it is only to be understood. Now is the time to understand more, so that we may fear less.” — Marie Curie

OpenMined Online Events Team - Connect with the community

The newly created Events Team at OpenMined will focus on online events - everything from open meetups to presentations and webinars. As we h

What is Homomorphic Encryption?

This post is part of our Privacy-Preserving Data Science, Explained series.

Three Ways to Future-Proof your Data Analytics against the Changing Regulatory Landscape

On July 16, the ECJ invalidated the EU-US Privacy Shield, one of the key mechanisms for lawfully transferring data between the EU and the US. Federated Learning and other Privacy Preserving techniques would help solve some of the new challenges organizations face.

What is Differential Privacy by Shuffling?

This post is part of our Privacy-Preserving Data Science, Explained series. Differential privacy has been established as the gold standard

OpenMined Featured Contributor: July 2020

Interview with Kyoko Eng, OpenMined's Featured Contributor for July 2020!