2 papers
cs.CR2025
FuzzSense: Towards A Modular Fuzzing Framework for Autonomous Driving Software
Andrew Roberts, Lorenz Teply, Mert D. Pese +3
Fuzz testing to find semantic control vulnerabilities is an essential activity to evaluate the robustness of autonomous driving (AD) software. Whilst there is a preponderance of di…
cs.CR2024
REACT: Autonomous Intrusion Response System for Intelligent Vehicles
Mohammad Hamad, Andreas Finkenzeller, Michael Kühr +4
Autonomous and connected vehicles are rapidly evolving, integrating numerous technologies and software. This progress, however, has made them appealing targets for cybersecurity at…