Adversarial techniques refer to a set of strategies and methodologies employed to manipulate or deceive machine learning models, with the goal of compromising their performance.
Explainable AI (XAI) refers to the development and integration of techniques that allow machine learning models and artificial intelligence systems to provide interpretable, transparent, and understandable explanations for their predictions or decisions.