Comprehensive taxonomy of AI security vulnerabilities, LLM adversarial attacks, prompt injection techniques, and machine learning security research. Covers 71+ attack vectors including model poisoning, agentic AI exploits, and privacy breaches.

“AI model poisoning industry” (highlighted in the 315 consumer protection program) shows that manipulating AI outputs via crafted content is no longer theoretical.

WeightsWatcher is a cryptographic integrity verification system for Machine Learning artifacts

Learning repository for Foundations of AI Security by AttackIQ Security Academy. Includes notes, labs, reports, case studies, and certificate of completion, focusing on adversarial threats, defense strategies, and AI security testing.