2023
Boosting Adversarial Training in Safety-Critical Systems Through Boundary Data Selection
RA-L 2023
AI-enabled collaborative robots are designed to be used in close collaboration with humans, thus requiring stringent safety standards and quick response times. Adversarial attacks pose a significant threat to the deep learning models of these systems, making it crucial to develop methods to improve