Samuel Sasaki

Scaling Data-Driven Probabilistic Robustness Analysis for Semantic Segmentation Neural Networks

Semantic segmentation neural networks (SSNs) are increasingly essential in high-stakes fields such as medical imaging, autonomous driving, and environmental monitoring, where robustness to input uncertainties and adversarial examples is crucial for ensuring safety and reliability. However, tradition…