Adversarial attacks on cloud perception models plus network impairments in a vehicle-cloud loop degrade object detection from 0.73/0.68 to 0.22/0.15 precision/recall and destabilize closed-loop vehicle control.
Anomaly detection against gps spoofing attacks on connected and autonomous vehicles using learning from demonstration,
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Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems
Adversarial attacks on cloud perception models plus network impairments in a vehicle-cloud loop degrade object detection from 0.73/0.68 to 0.22/0.15 precision/recall and destabilize closed-loop vehicle control.