Takami Sato, Ningfei Wang (University of California, Irvine), Yueqiang Cheng (NIO Security Research), Qi Alfred Chen (University of California, Irvine)

Automated Lane Centering (ALC) is one of the most popular autonomous driving (AD) technologies available in many commodity vehicles. ALC can reduce the human driver’s efforts by taking over their steering work. However, recent research alerts that ALC can be vulnerable to off-road attacks that lead victim vehicles out of their driving lane. To be secure against off-road attacks, this paper explores the potential defense capability of low-quality localization and publicly available maps against off-road attacks against autonomous driving. We design the first map-fusion-based off-road attack detection approach, LaneGuard, LaneGuard detects off-road attacks based on the difference between the observed road shape and the driver-predefined route shape. We evaluate LaneGuar on large-scale real-world driving traces consisting of 80 attack scenarios and 11,558 benign scenarios. We find that LaneGuard can achieve an attack detection rate of 89% with a 12% false positive rate. In real-world highway driving experiments, LaneGuard exhibits no false positives while maintaining a near-zero false negative rate against simulated attacks.

View More Papers

Short: Certifiably Robust Perception Against Adversarial Patch Attacks: A...

Chong Xiang (Princeton University), Chawin Sitawarin (University of California, Berkeley), Tong Wu (Princeton University), Prateek Mittal (Princeton University)

Read More

QUACK: Hindering Deserialization Attacks via Static Duck Typing

Yaniv David (Columbia University), Neophytos Christou (Brown University), Andreas D. Kellas (Columbia University), Vasileios P. Kemerlis (Brown University), Junfeng Yang (Columbia University)

Read More

CamPro: Camera-based Anti-Facial Recognition

Wenjun Zhu (Zhejiang University), Yuan Sun (Zhejiang University), Jiani Liu (Zhejiang University), Yushi Cheng (Zhejiang University), Xiaoyu Ji (Zhejiang University), Wenyuan Xu (Zhejiang University)

Read More

Unus pro omnibus: Multi-Client Searchable Encryption via Access Control

Jiafan Wang (Data61, CSIRO), Sherman S. M. Chow (The Chinese University of Hong Kong)

Read More