Image de couverture de livre

Towards Powerful and Practical Patch Attacks for 2D Object Detection in Autonomous Driving

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Cao, Yuxin, Zhang, Yedi, He, Wentao, Liao, Yifan, Xiao, Yan, Li, Chang, Huang, Zhiyong, Dong, Jin Song
Format:	Preprint
Publié:	2025
Sujets:	Computer Vision and Pattern Recognition
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Towards Stealthy and Effective Backdoor Attacks on Lane Detection: A Naturalistic Data Poisoning Approach
par: Liao, Yifan, et autres
Publié: (2025)

Transient Adversarial 3D Projection Attacks on Object Detection in Autonomous Driving
par: Zhou, Ce, et autres
Publié: (2024)

Verification of Bit-Flip Attacks against Quantized Neural Networks
par: Zhang, Yedi, et autres
Publié: (2025)

Towards Efficient 3D Object Detection in Bird's-Eye-View Space for Autonomous Driving: A Convolutional-Only Approach
par: Li, Yuxin, et autres
Publié: (2023)

Towards Transferable Attacks Against Vision-LLMs in Autonomous Driving with Typography
par: Chung, Nhat, et autres
Publié: (2024)

Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
par: Zhu, Zihui, et autres
Publié: (2026)

Towards Camera Open-set 3D Object Detection for Autonomous Driving Scenarios
par: He, Zhuolin, et autres
Publié: (2024)

DriveFlow: Rectified Flow Adaptation for Robust 3D Object Detection in Autonomous Driving
par: Lin, Hongbin, et autres
Publié: (2025)

Comparative Analysis of Patch Attack on VLM-Based Autonomous Driving Architectures
par: Fernandez, David, et autres
Publié: (2026)

A Real-Time Defense Against Object Vanishing Adversarial Patch Attacks for Object Detection in Autonomous Vehicles
par: Mu, Jaden
Publié: (2024)

Toward Availability Attacks in 3D Point Clouds
par: Zhu, Yifan, et autres
Publié: (2024)

EchoTrack: Auditory Referring Multi-Object Tracking for Autonomous Driving
par: Lin, Jiacheng, et autres
Publié: (2024)

Adversarial Attacks on Large Language Models in Medicine
par: Yang, Yifan, et autres
Publié: (2024)

3D Object Detection for Autonomous Driving: A Survey
par: Qian, Rui, et autres
Publié: (2021)

Attention-Guided Patch-Wise Sparse Adversarial Attacks on Vision-Language-Action Models
par: Zhang, Naifu, et autres
Publié: (2025)

Work Zones challenge VLM Trajectory Planning: Toward Mitigation and Robust Autonomous Driving
par: Liao, Yifan, et autres
Publié: (2025)

Robustness-Aware 3D Object Detection in Autonomous Driving: A Review and Outlook
par: Song, Ziying, et autres
Publié: (2024)

Integrating Object Detection Modality into Visual Language Model for Enhanced Autonomous Driving Agent
par: He, Linfeng, et autres
Publié: (2024)

A Survey of Deep Learning Based Radar and Vision Fusion for 3D Object Detection in Autonomous Driving
par: Wu, Di, et autres
Publié: (2024)

Influence of Camera-LiDAR Configuration on 3D Object Detection for Autonomous Driving
par: Li, Ye, et autres
Publié: (2023)

Multimodal-Enhanced Objectness Learner for Corner Case Detection in Autonomous Driving
par: Xiao, Lixing, et autres
Publié: (2024)

UniAda: Universal Adaptive Multi-objective Adversarial Attack for End-to-End Autonomous Driving Systems
par: Zhang, Jingyu, et autres
Publié: (2026)

Whispering Under the Eaves: Protecting User Privacy Against Commercial and LLM-powered Automatic Speech Recognition Systems
par: Jin, Weifei, et autres
Publié: (2025)

Data Shift of Object Detection in Autonomous Driving
par: Xu, Lida
Publié: (2025)

Uncertainty-Encoded Multi-Modal Fusion for Robust Object Detection in Autonomous Driving
par: Lou, Yang, et autres
Publié: (2023)

3D Object Detection from Images for Autonomous Driving: A Survey
par: Ma, Xinzhu, et autres
Publié: (2022)

PhysPatch: A Physically Realizable and Transferable Adversarial Patch Attack for Multimodal Large Language Models-based Autonomous Driving Systems
par: Guo, Qi, et autres
Publié: (2025)

Butter: Frequency Consistency and Hierarchical Fusion for Autonomous Driving Object Detection
par: Lin, Xiaojian, et autres
Publié: (2025)

Enhancing Object Detection Robustness: Detecting and Restoring Confidence in the Presence of Adversarial Patch Attacks
par: Kazoom, Roie, et autres
Publié: (2024)

Real-time Traffic Object Detection for Autonomous Driving
par: Khan, Abdul Hannan, et autres
Publié: (2024)

Towards Accurate and Efficient 3D Object Detection for Autonomous Driving: A Mixture of Experts Computing System on Edge
par: Liu, Linshen, et autres
Publié: (2025)

DisPatch: Disarming Adversarial Patches in Object Detection with Diffusion Models
par: Ma, Jin, et autres
Publié: (2025)

MLF-4DRCNet: Multi-Level Fusion with 4D Radar and Camera for 3D Object Detection in Autonomous Driving
par: Wu, Yuzhi, et autres
Publié: (2025)

Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
par: Wang, Jian, et autres
Publié: (2025)

MSSF: A 4D Radar and Camera Fusion Framework With Multi-Stage Sampling for 3D Object Detection in Autonomous Driving
par: Liu, Hongsi, et autres
Publié: (2024)

LLM-enabled Applications Require System-Level Threat Monitoring
par: Zhang, Yedi, et autres
Publié: (2026)

Unleashing the Representational Power of Fourier Shapes for Attacking Infrared Object Detection
par: Yong, Yixing, et autres
Publié: (2026)

Domain Adaptation based Object Detection for Autonomous Driving in Foggy and Rainy Weather
par: Li, Jinlong, et autres
Publié: (2023)

Fairness in Autonomous Driving: Towards Understanding Confounding Factors in Object Detection under Challenging Weather
par: Pathiraja, Bimsara, et autres
Publié: (2024)

ReconDrive: Fast Feed-Forward 4D Gaussian Splatting for Autonomous Driving Scene Reconstruction
par: Yu, Haibao, et autres
Publié: (2026)