Our paper, “Fair Bilevel Neural Network (FairBiNN): On Balancing Fairness and Accuracy via Stackelberg Equilibrium,” has been accepted to NeurIPS 2024. We introduce a novel bilevel optimization approach to enhance fairness in machine learning, achieving superior results on key datasets.