All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference

Fuente: arXiv

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Bibliographic Details
Main Authors:	Yu, Yi, Wu, Libing, Zhang, Zhuangzhuang, Qiu, Jing, Huo, Lijuan, Feng, Jiaqi
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
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Internet

https://arxiv.org/abs/2603.08498