Bálint Mohos

Evaluating the Adversarial Robustness of Semantic Segmentation: Trying Harder Pays Off

"Machine learning models are vulnerable to tiny adversarial input perturbations optimized to cause a very large output error. To measure this vulnerability, we need reliable methods that can find such adversarial perturbations. For image classification models, evaluation methodologies have emerged t…