Upper Bounds on the Generalization Error of Deep Learning Models via Local Robustness and Stability

Generalization is a critical property of data-driven models, particularly deep learning models deployed in safety-critical applications. Robustness-based generalization bounds have gained attention as a principled way to link robustness properties to generalization performance, often in a data-depen...