Lipschitz-Based Robustness Certification for Recurrent Neural Networks via Convex Relaxation

Paul Hamelbeck, Johannes Schiffer

Robustness certification against bounded input noise or adversarial perturbations is increasingly important for deployment recurrent neural networks (RNNs) in safety-critical contr…