Adversarial Learning And Secure Ai

Cambridge University Press

Adversarial Learning and Secure AI              

Packt Publishing

Adversarial AI Attacks, Mitigations, and Defense Strategies: A cybersecurity professional's guide to AI attacks, threat modeling, and securing AI with MLSecOps

Adversarial AI for Hackers: Hands-On Attacks and Defenses for Machine Learning Models (English Edition)

Springer

Adversarial Example Detection and Mitigation Using Machine Learning

Independently published

Red Teaming with AI Agents: Designing Multi-Agent Systems for Scalable Threat Simulation, Adversarial Testing, and Secure AI Workflows

Independently published

Agentic AI Security: Threat Modeling, Red-Teaming and Defenses for Autonomous Systems: Adversarial testing, sandboxing, runtime controls, alignment checks, policy enforcement, and secure deployment

Independently published

Machine Learning for Security Beginners: Understanding AI and Machine Learning Basics to Build a Secure Foundation (AI Security Mastery, Band 2)

Springer

Understanding AI in Cybersecurity and Secure AI: Challenges, Strategies and Trends (Progress in IS) (English Edition)

Independently published

Secure-by-Design for AI Products: From Prototype to Production Without Leaks

Wiley

Not with a Bug, But with a Sticker: Attacks on Machine Learning Systems and What To Do About Them (English Edition)