SoK: On the Semantic AI Security in Autonomous Driving. (arXiv:2203.05314v1 [cs.CR])

Autonomous Driving (AD) systems rely on AI components to make safety and
correct driving decisions. Unfortunately, today's AI algorithms are known to be
generally vulnerable to adversarial attacks. However, for such AI
component-level vulnerabilities to be semantically impactful at the system
level, it needs to address non-trivial semantic gaps both (1) from the
system-level attack input spaces to those at AI component level, and (2) from
AI component-level attack impacts to those at the system level. In this paper,
we …

ai ai security autonomous autonomous driving security