Inaugural Symposium on Vehicle Security and Privacy (VehicleSec 2023)

Co-located with NDSS Symposium 2023, San Diego, CA (Hybrid)

The Inaugural Symposium on Vehicle Security and Privacy (VehicleSec 2023) is built upon the continuous four-year growth of the AutoSec (Automotive and Autonomous Vehicle Security) Workshop with the NDSS Symposium. This brand new symposium aims at bringing together an audience of university researchers, scientists, industry professionals, and government representatives to contribute new theories, technologies, and systems on any security/privacy issues related to vehicles (e.g., ground, aerial, underwater, space), their sub-systems (e.g., in-vehicle networks, autonomy, connectivity, human-machine interfaces), supporting infrastructures (e.g., transportation infrastructure, charging station, ground control station), and related fundamental technologies (e.g., sensing, control, AI/ML/DNN, real-time computing, edge computing, location service, simulation, digital twin, multi-agent protocol/system design, and human-machine interaction).

VehicleSec 2023 will be a hybrid event, co-located with the Network and Distributed System Security Symposium (NDSS) 2023. Besides the main program, VehicleSec will feature a Demo/Poster session, a Lightning Talk session, and a Community Reception. VehicleSec will also provide various cash-prized paper/demo/poster awards and VehicleSec Student Travel Grants (more details soon).

VehicleSec 2023 Awards

GM AutoDriving Security Award ($1,000 cash prize)

Winner

Cooperative Perception for Safe Control of Autonomous Vehicles under LiDAR Spoofing Attacks
Hongchao Zhang (Washington University in St. Louis), Zhouchi Li (Worcester Polytechnic Institute), Shiyu Cheng (Washington University in St. Louis) and Andrew Clark (Washington University in St. Louis)

ZOOX Best Paper Award ($500 cash prize)

Winner

Guess Which Car Type I Am Driving: Information Leak via Driving Apps
Dongyao Chen (Shanghai Jiao Tong University), Mert D. Pesé (Clemson University) and Kang G. Shin (University of Michigan, Ann Arbor)

Runners-up

CANtropy: Time Series Feature Extraction-Based Intrusion Detection Systems for Controller Area Networks
Md Hasan Shahriar (Virginia Polytechnic Institute and State University) and Wenjing Lou (Virginia Tech) and Y. Thomas Hou (Virginia Tech)

Reminding Drivers of the Stalking Vehicles on the Road
Wei Sun (The Ohio State University) and Kannan Srinivsan (The Ohio State University)

On the Feasibility of Profiling Electric Vehicles through Charging Data
Ankit Gangwal (IIIT Hyderabad), Aakash Jain (IIIT Hyderabad) and Mauro Conti (University of Padova)

ETAS Best Short Paper Award ($200 cash prize)

Winner

WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems
Takami Sato (University of California, Irvine), Sri Hrushikesh Varma Bhupathiraju (University of Florida), Michael Clifford (Toyota), Takeshi Sugawara (The University of Electro-Communications), Qi Alfred Chen (University of California, Irvine) and Sara Rampazzi (University of Florida)

Runners-up

WIP: Augmenting Vehicle Safety With Passive BLE
Noah Curran (University of Michigan), Kang G. Shin (University of Michigan), William Hass (Lear Corporation), Lars Wolleschensky (Lear Corporation), Rekha Singoria (Lear Corporation), Isaac Snellgrove (Lear Corporation) and Ran Tao (Lear Corporation)

Short: Certifiably Robust Perception Against Adversarial Patch Attacks: Today and Tomorrow
Chong Xiang (Princeton University), Chawin Sitawarin (University of California, Berkeley), Tong Wu (Princeton University) and Prateek Mittal (Princeton University)

WIP: Practical Removal Attacks on LiDAR-based Object Detection in Autonomous Driving
Takami Sato (University of California, Irvine), Yuki Hayakawa (Keio University), Ryo Suzuki (Keio University), Yohsuke Shiiki (Keio University), Kentaro Yoshioka (Keio University) and Qi Alfred Chen (University of California, Irvine)

DENSO Best Demo Award ($100 cash prize)

Winner

WIP: Infrared Laser Reflection Attack Against Traffic Sign Recognition Systems
Takami Sato (University of California, Irvine), Sri Hrushikesh Varma Bhupathiraju (University of Florida), Michael Clifford (Toyota InfoTech Labs), Takeshi Sugawara (The University of Electro-Communications), Qi Alfred Chen (University of California, Irvine), Sara Rampazzi (University of Florida)

Runners-up

Demo: Real-time System Availability for Cyber-physical Systems using ARM TrustZone
Jinwen Wang (Washington University in St. Louis), Ao Li (Washington University in St. Louis), Haoran Li (Washington University at St. Louis), Chenyang Lu (Washington University at St. Louis), Ning Zhang (Washington University at St. Louis)

Demo: Physically Hijacking Object Trackers
Raymond Muller (Purdue University), Yanmao Man (University of Arizona), Z. Berkay Celik (Purdue University), Ming Li (University of Arizona), Ryan Gerdes (Virginia Tech)