Demo: Security of Deep Learning based Automated Lane Centering under Physical-World Attack
Takami Sato, Junjie Shen, Ningfei Wang, Yunhan Jia, Xue Lin, Qi Alfred Chen
Abstract
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. We will show interactive demonstrations for the malicious road patch generation and the serious consequences.
Topics & Concepts
Computer scienceComputer securityDeep learningPhysical securityArtificial intelligenceHuman–computer interactionAdversarial Robustness in Machine LearningAutonomous Vehicle Technology and SafetyVehicular Ad Hoc Networks (VANETs)