Book Image

Machine Learning Security Principles

By : John Paul Mueller
Book Image

Machine Learning Security Principles

By: John Paul Mueller

Overview of this book

Businesses are leveraging the power of AI to make undertakings that used to be complicated and pricy much easier, faster, and cheaper. The first part of this book will explore these processes in more depth, which will help you in understanding the role security plays in machine learning. As you progress to the second part, you’ll learn more about the environments where ML is commonly used and dive into the security threats that plague them using code, graphics, and real-world references. The next part of the book will guide you through the process of detecting hacker behaviors in the modern computing environment, where fraud takes many forms in ML, from gaining sales through fake reviews to destroying an adversary’s reputation. Once you’ve understood hacker goals and detection techniques, you’ll learn about the ramifications of deep fakes, followed by mitigation strategies. This book also takes you through best practices for embracing ethical data sourcing, which reduces the security risk associated with data. You’ll see how the simple act of removing personally identifiable information (PII) from a dataset lowers the risk of social engineering attacks. By the end of this machine learning book, you'll have an increased awareness of the various attacks and the techniques to secure your ML systems effectively.
Table of Contents (19 chapters)
Part 1 – Securing a Machine Learning System
Part 2 – Creating a Secure System Using ML
Part 3 – Protecting against ML-Driven Attacks
Part 4 – Performing ML Tasks in an Ethical Manner

Considering the Threat Environment

Chapter 2 considered threats to your data, while Chapter 3 considered threats to your application and model. This chapter considers the threats to your environment as a whole and divides environments into two parts: business and consumer. Business threats focus on the ability to earn money, serve clients, provide a useful infrastructure, and address business requirements (such as accounting and meeting legal needs). Consumer threats focus on communication between individuals, entertainment, buying products, and addressing personal needs (such as interacting with government entities or making appointments with your doctor).

(And, yes, you need to worry about the consumer element because your users will always incorporate consumer elements into the business environment.)

The previous chapters examined parts of the whole to make the threats easier to see and understand. This chapter is an introduction to the whole picture, of how things work together...