YoVDO

Machine Learning on Encrypted Data with CrypTen

Offered By: PyCon US via YouTube

Tags

PyCon US Courses Machine Learning Courses PyTorch Courses Data Labeling Courses Secure Multiparty Computation Courses

Course Description

Overview

Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only!
Explore machine learning on encrypted data using CrypTen in this hands-on workshop presented by Mark Ibrahim from Facebook at PyCon US. Learn how to leverage secure computing techniques to develop models with the PyTorch API while performing computations on protected information. Dive into four common use scenarios for privacy-preserving machine learning: feature aggregation, data labeling, dataset augmentation, and model hiding. Through interactive notebooks, gain practical experience in installation and setup, understanding machine learning with CrypTen, working with secure multiparty compute and tensors, and training a machine learning model on encrypted data. Bring a laptop with Jupyter notebook installed to participate fully in this 26-minute session that bridges the gap between machine learning and data privacy.

Syllabus

Sponsor Workshop: Mark Ibrahim - Facebook: Machine Learning on Encrypted Data with CrypTen


Taught by

PyCon US

Related Courses

Introduction to Artificial Intelligence
Stanford University via Udacity
Natural Language Processing
Columbia University via Coursera
Probabilistic Graphical Models 1: Representation
Stanford University via Coursera
Computer Vision: The Fundamentals
University of California, Berkeley via Coursera
Learning from Data (Introductory Machine Learning course)
California Institute of Technology via Independent