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ABY3 - A Mixed Protocol Framework for Machine Learning

Offered By: Association for Computing Machinery (ACM) via YouTube

Tags

Privacy-Preserving Machine Learning Courses Machine Learning Courses Neural Networks Courses Linear Regression Courses Data Privacy Courses Matrix Multiplication Courses Training Models Courses

Course Description

Overview

Explore a 25-minute conference talk on privacy-preserving machine learning, presented at the Association for Computing Machinery (ACM). Delve into the design and implementation of a general framework that addresses privacy concerns in data-intensive machine learning applications. Learn about the ABY3 mixed protocol framework, which offers a solution for training better models while maintaining data security. Discover key concepts such as always-encrypted data, matrix multiplication on shared data, piece-wise polynomial techniques, and linear regression on shared data. Gain insights into how this framework can be applied to neural networks and other machine learning models, balancing the need for massive data collection with privacy protection in an era where machine learning is increasingly offered as a service by major technology companies.

Syllabus

Intro
Machine Learning and Privacy
Training A better Model
Security Concerns
Always Encrypted
Matrix Multiplication on Shared Data
Piece-wise Polynomial
Linear Regression on Shared Data
Neural Network


Taught by

Association for Computing Machinery (ACM)

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