A Novel Hybrid Attack Model and A Quantum-Infused Hybrid Defense Method for Resilient Perception of Autonomous Vehicles
This project strengthens the cybersecurity and resiliency of camera-based perception for autonomous vehicles by addressing two fast-growing attack classes: universal adversarial perturbations (UAPs) and generative/deepfake-style scene manipulations that can add, alter, or remove objects in the camera feed. The team will first build and validate a novel hybrid attack that combines image-agnostic UAP noise with generative object-disappearance attacks (ODAs) using real-time inpainting to create “hallucination” driving scenes where objects are misclassified or vanish entirely. The project will also develop a quantum-enhanced hybrid defense that fuses parameterized quantum circuits with classical deepfake/manipulation detection, leveraging quantum–classical disagreement and out-of-distribution signals to robustly detect both pixel-level perturbations and semantic object edits. The project will produce deployable prototypes: (1) a real-time hybrid “malware” attack pipeline and (2) a quantum-infused hybrid detector, which will be evaluated in realistic AV scenarios and deployed for testing on connected-vehicle testbeds (e.g., Clemson University Connected Vehicle Testbed or CU-CVT and Morgan State).
Language
- English
Project
- Status: Active
- Funding: $170,083.00
-
Contract Numbers:
69A3552344812
69A3552348317
-
Sponsor Organizations:
Office of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590Clemson University
216 Lowry Hall
Clemson, SC, SC United States 29634South Carolina State University
300 College Street NE
Orangeburg, South Carolina United States 29117 -
Managing Organizations:
National Center for Transportation Cybersecurity and Resiliency (TraCR)
Clemson University
Clemson, SC United StatesClemson University
216 Lowry Hall
Clemson, SC, SC United States 29634 -
Project Managers:
Chowdhury, Mashrur
-
Performing Organizations:
Clemson University
216 Lowry Hall
Clemson, SC, SC United States 29634South Carolina State University
300 College Street NE
Orangeburg, South Carolina United States 29117 -
Principal Investigators:
Ge, Rong
Salek, Sabbir
Sahoo, Jagruti
- Start Date: 20260401
- Expected Completion Date: 20270331
- Actual Completion Date: 0
- USDOT Program: University Transportation Centers
Subject/Index Terms
- TRT Terms: Artificial intelligence; Autonomous vehicles; Computer security; Connected vehicles; Cyberattacks; Machine learning; System architecture; Vehicle safety
- Subject Areas: Data and Information Technology; Highways; Security and Emergencies; Vehicles and Equipment;
Filing Info
- Accession Number: 01988515
- Record Type: Research project
- Source Agency: National Center for Transportation Cybersecurity and Resiliency (TraCR)
- Contract Numbers: 69A3552344812, 69A3552348317
- Files: UTC, RIP
- Created Date: Apr 30 2026 12:17PM