Bilevel Optimization for Adversarial Learning Problems: Sharpness, Generation, and Beyond

Adversarial learning is a widely used paradigm in machine learning, often formulated as a min-max optimization problem where the inner maximization imposes adversarial constraints to guide the outer learner toward more robust solutions.