Best Machine Learning books

Practical AI Security

A Hands-on Guide to Attacking, Defending, and Securing Modern AI Systems

The founder of an AI-security firm, with a PhD in adversarial machine learning, walks from how models fail to how they're exploited to how they're defended and audited, with over 30 hands-on Python demos.

The Android Malware Handbook

Using Manual Analysis and ML-Based Detection

Machine-learning researchers and members of Meta's and Google's Android Security teams distill years of research into detecting banking trojans, ransomware, and SMS fraud on Android, combining manual analysis with classification models.

Malware Data Science

Attack Detection and Attribution

Saxe and Sanders apply machine-learning techniques (classification, clustering, deep learning) to malware detection and attribution, with working Python code and real corpora.

Intelligence artificielle, cybersécurité et cyberdéfense

An academic examination of how artificial intelligence reshapes cybersecurity and cyberdefence — opportunities, threats and strategic implications — by France's most prolific cyberwar scholar.