Adversarial AI Attacks, Mitigations, and Defense Strategies

Table of Contents

Preface

Part 1: Introduction to Adversarial AI

1

Getting Started with AI

Understanding AI and ML

Types of ML and the ML life cycle

Key algorithms in ML

Neural networks and deep learning

ML development tools

Summary

Further reading

2

Building Our Adversarial Playground

Technical requirements

Setting up your development environment

Python installation

Creating your virtual environment

Installing packages

Registering your virtual environment with Jupyter notebooks

Verifying your installation

Hands-on basic baseline ML

Simple NNs

Developing our target AI service with CNNs

Setup and data collection

Data exploration

Data preprocessing

Algorithm selection and building the model

Model training

Model evaluation

Model deployment

Inference ...