Machine Learning (ML) models, such as deep neural networks, are widely applied in
autonomous systems to perform complex perception tasks. New dependability challenges …

AI models make mistakes when recognizing images-whether in-domain, out-of-domain, or
adversarial. Predicting these errors is critical for improving system reliability, reducing costly …

Reliable use of deep neural networks (DNNs) for medical image analysis requires methods
to identify inputs that differ significantly from the training data, called out-of-distribution …

With the increasing use of neural networks in critical systems, runtime monitoring becomes
essential to reject unsafe predictions during inference. Various techniques have emerged to …

Perception-based advanced driver-assistance systems (ADAS) are widely applied in
modern vehicles to assist drivers by increasing the vehicle's safe operation. This perception …