APA (7th ed.) Citation

Yu, Y., Wu, L., Zhang, Z., Qiu, J., Huo, L., & Feng, J. (2026). All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference.

Chicago Style (17th ed.) Citation

Yu, Yi, Libing Wu, Zhuangzhuang Zhang, Jing Qiu, Lijuan Huo, and Jiaqi Feng. All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference. 2026.

MLA (9th ed.) Citation

Yu, Yi, et al. All Vehicles Can Lie: Efficient Adversarial Defense in Fully Untrusted-Vehicle Collaborative Perception via Pseudo-Random Bayesian Inference. 2026.