Robust Adversarial Attacks Detection based on Explainable Deep Reinforcement Learning For UAV Guidance and Planning. (arXiv:2206.02670v2 [cs.LG] UPDATED)

The danger of adversarial attacks to unprotected Uncrewed Aerial Vehicle
(UAV) agents operating in public is growing. Adopting AI-based techniques and
more specifically Deep Learning (DL) approaches to control and guide these UAVs
can be beneficial in terms of performance but add more concerns regarding the
safety of those techniques and their vulnerability against adversarial attacks
causing the chances of collisions going up as the agent becomes confused. This
paper proposes an innovative approach based on the explainability of DL …

adversarial attacks detection guidance lg planning