Get involved in data privacy and expand our collective knowledge and network.
We want your input!
Our team comprises experts in security, cryptography, machine learning and data science. We are research-driven and welcome your input and questions. What do you need for better data science? Hop onto our Cape Feature Roadmap to learn more about upcoming features and put in your vote!
Learn more about Privacy-Enhancing Technologies
TF Encrypted: Private machine learning in tensorflow with secure computing
Dr. Morten Dahl explains how encrypted learning with TF Encrypted creates more trustworthy data science.
The State of PPML
Listen in as Ben Lorica and Dr. Morten Dahl weigh in on the current state of privacy-preserving machine learning. They explore topics such as encrypted learning, federated learning and collaborative learning. They also recommend several privacy-enhancing software and tools which offer support for machine learning practitioners looking to build more privacy-aware data science.
Udacity: Learn how to build Encrypted ML with Andrew Trask
Learn how to build privacy-preserving and encrypted models with OpenMined's Andrew Trask on Udacity learning platform.
A Path to Sub-Second, Encrypted Skin Cancer Detection
Want to get started with encrypted deep learning? Follow along with Yann Dupis to detect skin cancer on encrypted images.
Privacy: Why It Matters
Machine Learning’s Privacy Problem
Jason Mancuso speaks at DEFCon about privacy issues and mitigation in machine learning.
Dr. Hugo Bowne-Anderson and Katharine Jarmul discuss privacy-protections in difficult times. How can we retain privacy measures while protecting public health and humanitarian needs?
Let’s transform the world together
Privacy-enhancing technology should be a priority
Secure Multi-Party Computation
Want to learn more about secure multiparty computation (MPC)? Check out Dragoş Rotaru's Awesome MPC resource collection on GitHub and dive into the world of secure compute.
Join the discussion on Slack
Be a part of our open community and embrace the learning opportunities of a privacy-driven group of researchers, legal experts and data scientists.
Join us on GitHub
Download Cape in seconds from your favorite package repository and get started incorporating data privacy into your data science workflows.