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)
1
Part 1 – Securing a Machine Learning System
5
Part 2 – Creating a Secure System Using ML
12
Part 3 – Protecting against ML-Driven Attacks
15
Part 4 – Performing ML Tasks in an Ethical Manner

Considering fraud that occurs in real time

Real-time fraud is marked by a certain level of impatience and often requires quick thinking to pull off. Real-time fraud usually infers a kind of interaction that is performed by an entity that can perpetrate the fraud and then become inaccessible (usually by changing venue). In addition, real-time fraud normally relies on social engineering, a lack of knowledge, or some type of artifice. The following sections provide insights into real-time fraud and its detection.

Considering the types of real-time fraud

Real-time fraud, a term this book uses to indicate a kind of fraud that occurs within hours or possibly days (or sometimes even seconds), targets quick gains with little effort on the part of the fraudster. Here are a few real-time fraud types to consider:

  • Email phishing: The fraudster commonly sends what appears to be a legitimate email to a user with some method of invoking fraud that antivirus or antispam software can...