Demo #15: Remote Adversarial Attack on Automated Lane Centering

Advanced driver-assistance systems (ADAS) are widely used by modern vehicle manufacturers to automate, adapt and enhance vehicle technology for safety and better driving. In this work, we design a practical attack against automated lane centering (ALC), a crucial functionality of ADAS, with remote adversarial patches. We identify that the back of a vehicle is an effective attack vector and improve the attack robustness by considering various input frames. The demo includes videos that show our attack can divert victim vehicle out of lane on a representative ADAS, Openpilot, in a simulator.

PAPER
[ Ссылка ]

AUTHORS
Yulong Cao (University of Michigan), Yanan Guo (University of Pittsburgh), Takami Sato (UC Irvine), Qi Alfred Chen (UC Irvine), Z. Morley Mao (University of Michigan) and Yueqiang Cheng (NIO)


Network and Distributed System Security (NDSS) Symposium 2022, 24 – 28 April, 2022 Catamaran Resort Hotel & Spa, San Diego, California, and online.

Automotive and Autonomous Vehicle Security (AutoSec) Workshop 2022
[ Ссылка ]


ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.
[ Ссылка ]

#NDSS #NDSS22 #NDSS2022 #InternetSecurity #AutoSec

свернуть