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Training a CNN using SPDZ

An implementation of Convolutional Neural Networks (CNNs) using secure Multi-Party Computation (MPC).

Weekly Digs #10

Small but good: we only dug up one paper this week but it comes with very interesting claims.

Weekly Digs #9

If anyone had any doubt that private machine learning is a growing area then this might take care of that: one week with papers on MPC, HE, SGX, and DP.

Weekly Digs #7

While academia may still be a bit busy with submission deadlines, industry reported interesting stories this week regarding secure computation

Weekly Digs #6

A slightly slower period yet still new work on differential privacy and covert channels!

Weekly Digs #5

Good mix of approaches this time, including custom secure computation, secure enclaves, peer-to-peer gossip, and differential privacy.

Welcome to the OpenMined Blog!

The OpenMined blog is your source for all official announcements, tutorials, and general news within the community.

Weekly Digs #4

Shorter but still interesting mix this week with two pillars of private machine learning: homomorphic encryption and differential privacy!

Weekly Digs #3

Big news this week with a good mix of everything: guides to help you explore, practical tools, and interesting new ideas! Enjoy.

Weekly Digs #2

This week saw updates on training logistic and boosting models on encrypted data, and an update to the student-teacher approach.

Weekly Digs #1

We are very happy to finally kick off our weekly dig into what's currently going on in private machine learning!