gonzalo-munillag / privacy_enhancing_technologies_portfolio

This repository contains projects applying privacy-enhancing technologies.

Privacy-Enhancing Technologies Portfolio

This repository contains projects applying privacy-enhancing technologies.

1. Private AI (OpenMined Course)

This course is lead by OpenMined and taught by many experts in the field. You can also do it :), it is free! Here is the link.

course	description	project	workload
Our privacy opportunity	High-level overview of PETs and use cases	Privacy-preserving concepts for vehicles	+25h
Foundations of Private Computation	Deeper view and state of the art implementations of PETs		+60h

Notes on the course intro video

In order for privacy to be adopted without the force of a regulation or activism, we do not only need to know how the PETs fit together, but also where are the business use cases such that privacy becomes a "hard core competetitve advantage", i.e. susch that the any business in the world would naturally choose PETs above non-private approaches.

PETs streamline and change how organizations collaborate with data that is owned by multiple organizations.