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Existing vulnerability assessment tools miss critical operating system flaws in software-defined vehicles, exposing a vast landscape of security threats.
Poisoned 3D point cloud datasets can evade augmentation defenses, undermining the reliability of classifiers in autonomous vehicle systems.
