The Record Harm Ontology provides a rigorous taxonomy of how informational records can be damaged, destroyed, or corrupted. It distinguishes between prime harms (ontologically irreducible attacks) and ...

Abstract: Although reinforcement learning (RL) methodologies exhibit potential in addressing decision-making and planning problems in autonomous driving, ensuring the safety of the vehicle under all ...

Abstract: Deep learning models have been applied in various fields and continue producing exceptional results. However, these models are vulnerable to adversarial attacks, which are modified data ...