AI RESEARCH
Adversarial Robustness Analysis of Cloud-Assisted Autonomous Driving Systems
arXiv CS.LG
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ArXi:2604.04349v1 Announce Type: cross Autonomous vehicles increasingly rely on deep learning-based perception and control, which impose substantial computational demands. Cloud-assisted architectures offload these functions to remote servers, enabling enhanced perception and coordinated decision-making through the Internet of Vehicles (IoV). However, this paradigm