Last month, NIST released its Draft NISTIR 8269, A Taxonomy and Terminology of Adversarial Machine Learning. The taxonomy is intended to assist researchers and practitioners in developing a common lexicon around Adversarial Machine Learning, with the goal of setting standards and best practices for managing the security of Artificial Intelligence (“AI”) systems against attackers.… Continue Reading