In their paper “Malicious Attacks against Multi-Sensor Fusion in Autonomous Driving”, the authors present the first study on the vulnerability of multi-sensor fusion systems using LiDAR, camera, and radar. “Specifically, we propose a novel attack method that can simultaneously attack all three types of sensing modalities using a single type of adversarial object. The adversarial object can be easily fabricated at low cost, and the proposed attack can be easily performed with high stealthiness and flexibility in practice. Extensive experiments based on a real-world AV testbed show that the proposed attack can continuously hide a target vehicle from the perception system of a victim AV using only two small adversarial objects.” (Abstract) In an article for ICTkommunikation on 6 March 2024, Oliver Bendel presented ten ways in which sensors can be attacked from the outside. On his behalf, M. Hashem Birahjakli investigated further possible attacks on self-driving cars as part of his final thesis in 2020. ‘The results of the work suggest that every 14-year-old girl could disable a self-driving car.’ Boys too, of course, if they have comparable equipment with them (Image: Ideogram).
Malicious Attacks Against Autonomous Vehicles
