Artificial Intelligence (AI) and security are two rapidly evolving fields. As AI becomes more integrated into various aspects of our lives, ensuring its security is crucial. Here are some recommended books on AI security that you might find helpful:
Top AI Security Books
"Artificial Intelligence: A Modern Approach" by Stuart Russell and Peter Norvig
- This book is a comprehensive introduction to AI, covering both theoretical and practical aspects. It's an excellent starting point for understanding the foundations of AI.
"The Practice of Network Security Monitoring: Understanding Incident Detection and Response" by Richard Bejtlich
- Network security monitoring is a critical aspect of AI security. This book provides practical insights into setting up and maintaining a network security monitoring system.
"Machine Learning Yearning" by Andrew Ng
- This book focuses on the practical aspects of machine learning, including how to build, train, and deploy machine learning models. It's particularly useful for those interested in applying AI in security contexts.
"Applied Security Monitoring: Collection, Detection, and Analysis" by Chris Sanders and Jason Smith
- This book covers the essential skills for security monitoring, including data collection, detection, and analysis. It's a valuable resource for those working in AI security.
"Deep Learning for Security: From Detection to Defense" by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
- This book explores the use of deep learning in security, including intrusion detection, malware analysis, and more. It's a great resource for those interested in the intersection of AI and cybersecurity.
Further Reading
For more in-depth information on AI security, you might want to check out our AI Security Basics course.