Robust Adversarial Attacks Detection for Deep Learning based Relative Pose Estimation for Space Rendezvous. (arXiv:2311.05992v1 [cs.CV])

Research on developing deep learning techniques for autonomous spacecraft
relative navigation challenges is continuously growing in recent years.
Adopting those techniques offers enhanced performance. However, such approaches
also introduce heightened apprehensions regarding the trustability and security
of such deep learning methods through their susceptibility to adversarial
attacks. In this work, we propose a novel approach for adversarial attack
detection for deep neural network-based relative pose estimation schemes based
on the explainability concept. We develop for an orbital rendezvous scenario an …

adversarial adversarial attacks attacks autonomous challenges deep learning detection navigation performance relative research security space spacecraft techniques