This project aims to develop a comprehensive AI security and privacy taxonomy that maps out the potential threats, vulnerabilities, and mitigation strategies specific to each stage of the AI life-cycle—from problem identification to deployment and beyond.
The goal of this taxonomy is to provide businesses, researchers, and regulators with a structured framework that guides them in identifying and addressing AI-related risks early in the procurement and implementation processes