Rui-Qi Hong

MG-Fuzz: Model-Guided Fuzzing for Unsafe Scenario Discovery in Autonomous Driving Systems

As autonomous driving systems (ADS) are increasingly deployed in real-world environments, discovering diverse unsafe driving scenarios remains a fundamental yet difficult problem. Existing scenario generation and testing approaches often rely on black-box exploration or externally-observed heuristic feedback, which str...