LLMs for Illicit Purposes

Threat taxonomy: Organizes LLM misuse threats into categories including misinformation, cyberattacks, social engineering, and unauthorized content generation.

Mitigation catalog: Reviews existing mitigation strategies - training-time, inference-time, and system-level defenses - with critical evaluation of each.

Deployment guide: Functions as a practical guide for building more reliable and robust LLM-powered systems.

Policy relevance: Contributes to the growing AI-safety policy discourse by organizing abstract risk concerns into a concrete framework.