GF-Score: Certified Class-Conditional Robustness Evaluation with Fairness Guarantees

ArXi:2604.12757v1 Announce Type: cross Adversarial robustness is essential for deploying neural networks in safety-critical applications, yet standard evaluation methods either require expensive adversarial attacks or report only a single aggregate score that obscures how robustness is distributed across classes. We