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Found 4 papers, 1 papers with code
SoK: On the Semantic AI Security in Autonomous Driving
In this paper, we perform the first systematization of knowledge of such growing semantic AD AI security research space.
Detecting Multi-Sensor Fusion Errors in Advanced Driver-Assistance Systems
We define the failures (e. g., car crashes) caused by the faulty MSF as fusion errors and develop a novel evolutionary-based domain-specific search framework, FusED, for the efficient detection of fusion errors.
Coverage-based Scene Fuzzing for Virtual Autonomous Driving Testing
Simulation-based virtual testing has become an essential step to ensure the safety of autonomous driving systems.
SAVIOR: Towards Bug-Driven Hybrid Testing
Unlike the existing hybrid testing tools, SAVIOR prioritizes the concolic execution of the seeds that are likely to uncover more vulnerabilities.
Software Engineering
