Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks. (arXiv:2201.04610v1 [cs.CR])

In high-level Autonomous Driving (AD) systems, behavioral planning is in
charge of making high-level driving decisions such as cruising and stopping,
and thus highly securitycritical. In this work, we perform the first systematic
study of semantic security vulnerabilities specific to overly-conservative AD
behavioral planning behaviors, i.e., those that can cause failed or
significantly-degraded mission performance, which can be critical for AD
services such as robo-taxi/delivery. We call them semantic Denial-of-Service
(DoS) vulnerabilities, which we envision to be most generally exposed …

attacks discovery dos drive physical planning under vulnerability world