most citedToo Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

1 paper

cs.CR2022★ 3 cited

Too Afraid to Drive: Systematic Discovery of Semantic DoS Vulnerability in Autonomous Driving Planning under Physical-World Attacks

Ziwen Wan, Junjie Shen, Jalen Chuang +4

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 securitycritic…