a-RNA: Adversarial Radio Noise Attack to Fool Radar-based Environment Perception Systems. (arXiv:2211.01112v1 [cs.CR])

Due to their robustness to degraded capturing conditions, radars are widely
used for environment perception, which is a critical task in applications like
autonomous vehicles. More specifically, Ultra-Wide Band (UWB) radars are
particularly efficient for short range settings as they carry rich information
on the environment. Recent UWB-based systems rely on Machine Learning (ML) to
exploit the rich signature of these sensors. However, ML classifiers are
susceptible to adversarial examples, which are created from raw data to fool
the classifier …

adversarial attack environment radio systems