Rui Tan is an Associate Professor at the College of Computing and Data Science, Nanyang Technological University (NTU), Singapore. Prior to his employment by NTU, he was a Research Scientist (2012-2015) and a Senior Research Scientist (2015) at Advanced Digital Sciences Center (ADSC) of the University of Illinois at Urbana-Champaign, and a postdoctoral Research Associate (2010-2012) at Michigan State University. He received the Ph.D. (2010) degree in computer science from City University of Hong Kong, the B.S. (2004) and M.S. (2007) degrees from Shanghai Jiao Tong University. His research interests include cyber-physical systems and the Internet of Things, and in particular, the non-functional aspects of these systems, including security, safety, and resilience. He is the recipient of the Best Paper Award, Best Paper Award Runner-Up/Finalist from ICCPS 2022 and 2023, SenSys 2021 and 2022, IPSN 2014 and 2017, and PerCom 2013. He serves as Associate Editor for IEEE Transactions on Mobile Computing and ACM Transactions on Sensor Networks, TPC Co-Chair of e-Energy’23, EWSN’24, SenSys’24, and General Co-Chair of e-Energy’24 and RTCSA'25.
Title:
Resilient Autonomous Driving Perception
Abstract:
Autonomous driving perception operates based on constrained resources and in the environment that contains adversarial and system disturbances. In this talk, we will first consider the adversarial scenario where there might exist physically deployable adversarial example attacks in the road environment. I will present our recent studies on (1) a new invisible adversarial example attack on traffic sign recognition and (2) moving target defence for protecting LiDAR-based and camera-based object detection. Then, I will present our new advances on the resilience of autonomous driving perception against system variations including vehicle speech changes and edge-cloud link quality changes for cloud-assisted vehicles.