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- SABER: Spatially Consistent 3D Universal Adversarial Objects for BEV . . .
In this paper, we present the first framework for generating universal, non-invasive, and 3D-consistent adversarial objects that expose fundamental vulnerabilities for BEV 3D object detectors
- BEVCA: Effective and Transferable Camouflage Attack against Multi-View . . .
In the paper, we propose BEVCA, the first framework to generate adversarial camouflage that effectively attacks multi-view 3D perception models by exploiting the Bird's-Eye-View (BEV) representation used across various 3D perception models
- 【论文阅读】针对BEV感知的攻击_physically realizable adversarial creating attack -CSDN博客
Understanding the Robustness of 3D Object Detection with Bird’s-Eye-View Representations in Autonomous Driving 这篇文章是发表在 CVPR 上的一篇文章，针对基于BEV的目标检测算法进行了两类可靠性分析，即恶劣自然条件以及敌对攻击。
- Physically Realizable Adversarial Creating Attack Against Vision-Based . . .
In this paper, we propose a novel attack setting where a carefully crafted adversarial poster (looks like meaningless graffiti) is learned and pasted on the road surface, inducing the vision-based 3D detectors to perceive a non-existent object
- Physically Realizable Adversarial Creating Attack Against Vision-Based . . .
Physically Realizable Adversarial Creating Attack Against Vision-Based BEV Space 3D Object Detection Published in: IEEE Transactions on Image Processing ( Volume: 34 )
- BEV-Perception README. md at main - GitHub
This is a repository for Bird's Eye View Perception, including 3D object detection, segmentation, online-mapping and occupancy prediction - 2023 05 09: An initial version of recent papers or projects - 2023 05 12: Adding paper for 3D object detection
- CVPR Poster Understanding the Robustness of 3D Object Detection With . . .
In addition to the classic settings, we propose a 3D consistent patch attack by applying adversarial patches in the 3D space to guarantee the spatiotemporal consistency, which is more realistic for the scenario of autonomous driving
- Beware of Road Markings: A New Adversarial Patch Attack to Monocular . . .
Current adversarial attacks to MDE models focus on attaching an optimized adversarial patch to a designated obstacle Although effective, this approach presents two inherent limitations: its reliance on specific obstacles and its limited malicious impact
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