Machine Learning Security with Azure

Table of Contents

Preface

Part 1: Planning for Azure Machine Learning Security

1

Assessing the Vulnerability of Your Algorithms, Models, and AI Environments

Technical requirements

Azure subscription and resources

Reviewing the Azure Machine Learning life cycle

ML life cycle

Azure Machine Learning

Introducing an ML project

Dataset

Training the model

Deploying the model

Making predictions using the deployed model

Exploring the Zero Trust model

Introducing the Zero Trust principles

Explaining Zero Trust defense areas

Assessing the vulnerability of ML assets and apps

Identity management

Data and data sources

Infrastructure

Network and endpoints

Monitoring and maintenance

AI/ML applications

Summary

Further reading

2

Understanding the Most Common ...