论文信息 - WIP: Deployability Improvement, Stealthiness User Study, and Safety Impact Assessment on Real Vehicle for Dirty Road Patch Attack

WIP: Deployability Improvement, Stealthiness User Study, and Safety Impact Assessment on Real Vehicle for Dirty Road Patch Attack

Automated Lane Centering (ALC) systems are convenient and widely deployed today, but also highly security and safety critical. Recently, Dirty Road Patch (DRP) attack is proposed as a state-of-the-art adversarial attack against ALC systems. In this work, we report our recent progress of improving the DRP attack on attack deployability, attack stealthiness, and effectiveness on real vehicle. We also discuss future directions.

[1] Ningfei Wang,et al. Hold Tight and Never Let Go: Security of Deep Learning based Automated Lane Centering under Physical-World Attack , 2020, ArXiv.