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Our team comprises experts in security, cryptography, machine learning and data science. We are research-driven and welcome your input and questions and provide a Code of Conduct for our community and contributors. 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!

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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.

Listen to Data Exchange

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.

Learn more on Udacity

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.

Read post on Medium

Privacy: Why It Matters

Machine Learning’s Privacy Problem

Jason Mancuso speaks at DEFCon about privacy issues and mitigation in machine learning.

Data Privacy

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?

Listen to DataFramed

Let’s transform the world together

Privacy-enhancing technology should be a priority

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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.

Check out MPC on GitHub

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Be a part of our open community and embrace the learning opportunities of a privacy-driven group of researchers, legal experts and data scientists.

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Download Cape in seconds from your favorite package repository and get started incorporating data privacy into your data science workflows.

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