Secure and Private AI

Description

What’s the earliest we are able to predict most cancers survival charges, and what faculties do the very best job of training youngsters? You may solely reply these questions with very uncommon entry to non-public and private information, however entry to this private information requires that you just grasp strategies for the principled safety of person privateness. Whereas not all privateness use instances have been solved, the previous few years have seen nice strides in privacy-preserving applied sciences.

This free course will introduce you to 3 cutting-edge applied sciences for privacy-preserving AI: Federated Studying, Differential Privateness, and Encrypted Computation. You’ll learn to use the latest privacy-preserving applied sciences, equivalent to OpenMined’s PySyft. PySyft extends Deep Studying instruments—equivalent to PyTorch—with the cryptographic and distributed applied sciences needed to securely and securely prepare AI fashions on distributed personal information.

We encourage you to enter the Secure and Private AI Scholarship Problem from Fb to each take the course and have an opportunity to win a scholarship for the Deep Studying or Laptop Imaginative and prescient Nanodegree applications.