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20212026
most citedTemporal Consistency Checks to Detect LiDAR Spoofing Attacks on Autonomous Vehicle Perception

25 citations · 27 across the 3 of their papers we have counts for

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cs.CV2026

Explainability-Aware Frustum Attack: Exposing Structural Vulnerabilities in LiDAR-Based 3D Object Detectors

Chengzeng You, Binbin Xu, Soteris Demetriou

The structural vulnerabilities of point cloud-based 3D object detectors remain poorly understood. Prior work has studied adversarial robustness primarily on isolated 3D object mode…

cs.CV2024

Adversarial 3D Virtual Patches using Integrated Gradients

Chengzeng You, Zhongyuan Hau, Binbin Xu +1

LiDAR sensors are widely used in autonomous vehicles to better perceive the environment. However, prior works have shown that LiDAR signals can be spoofed to hide real objects from…