:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Wang, Jiancheng, Liang, Lidan, Wang, Yong, Su, Zengzhen, Xia, Haifeng, Yan, Yuanting, Wang, Wei
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2604.04630
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Patch-based Cross-view Regularized Framework for Backdoor Defense in Multimodal Large Language Models
by: Fang, Tianmeng, et al.
Published: (2026)

Natural Reflection Backdoor Attack on Vision Language Model for Autonomous Driving
by: Liu, Ming, et al.
Published: (2025)

Backdoor Attack with Sparse and Invisible Trigger
by: Gao, Yinghua, et al.
Published: (2023)

AlphaDrive: Unleashing the Power of VLMs in Autonomous Driving via Reinforcement Learning and Reasoning
by: Jiang, Bo, et al.
Published: (2025)

SRD: Reinforcement-Learned Semantic Perturbation for Backdoor Defense in VLMs
by: Xu, Shuhan, et al.
Published: (2025)

Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
by: Lian, Weitong, et al.
Published: (2026)

BadCLIP: Trigger-Aware Prompt Learning for Backdoor Attacks on CLIP
by: Bai, Jiawang, et al.
Published: (2023)

Are VLMs Ready for Lane Topology Awareness in Autonomous Driving?
by: Chen, Xin, et al.
Published: (2025)

Invisible Triggers, Visible Threats! Road-Style Adversarial Creation Attack for Visual 3D Detection in Autonomous Driving
by: Wang, Jian, et al.
Published: (2025)

Towards Sample-specific Backdoor Attack with Clean Labels via Attribute Trigger
by: Zhu, Mingyan, et al.
Published: (2023)

BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
by: Zhan, Qiusi, et al.
Published: (2025)

CL2CM: Improving Cross-Lingual Cross-Modal Retrieval via Cross-Lingual Knowledge Transfer
by: Wang, Yabing, et al.
Published: (2023)

Versatile Backdoor Attack with Visible, Semantic, Sample-Specific, and Compatible Triggers
by: Wang, Ruotong, et al.
Published: (2023)

BEVWorld: A Multimodal World Simulator for Autonomous Driving via Scene-Level BEV Latents
by: Zhang, Yumeng, et al.
Published: (2024)

Low-Frequency Black-Box Backdoor Attack via Evolutionary Algorithm
by: Qiao, Yanqi, et al.
Published: (2024)

Drive-P2D: A Progressive Perception-to-Decision Benchmark for VLMs in Autonomous Driving
by: Tang, Zecong, et al.
Published: (2026)

Backdoor Attacks against No-Reference Image Quality Assessment Models via a Scalable Trigger
by: Yu, Yi, et al.
Published: (2024)

Is It Possible to Backdoor Face Forgery Detection with Natural Triggers?
by: Han, Xiaoxuan, et al.
Published: (2023)

VLMs Guided Interpretable Decision Making for Autonomous Driving
by: Hu, Xin, et al.
Published: (2025)

Trigger without Trace: Towards Stealthy Backdoor Attack on Text-to-Image Diffusion Models
by: Zhang, Jie, et al.
Published: (2025)

OmniGen: Unified Multimodal Sensor Generation for Autonomous Driving
by: Tang, Tao, et al.
Published: (2025)

DriveRX: A Vision-Language Reasoning Model for Cross-Task Autonomous Driving
by: Diao, Muxi, et al.
Published: (2025)

CraftGraffiti: Exploring Human Identity with Custom Graffiti Art via Facial-Preserving Diffusion Models
by: Banerjee, Ayan, et al.
Published: (2025)

DRIVESPATIAL: A Benchmark for Spatiotemporal Intelligence in VLMs for Autonomous Driving
by: Vo, Hao, et al.
Published: (2026)

HoneypotNet: Backdoor Attacks Against Model Extraction
by: Wang, Yixu, et al.
Published: (2025)

Detector Collapse: Physical-World Backdooring Object Detection to Catastrophic Overload or Blindness in Autonomous Driving
by: Zhang, Hangtao, et al.
Published: (2024)

Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)

Removing the Trigger, Not the Backdoor: Alternative Triggers and Latent Backdoors
by: Abad, Gorka, et al.
Published: (2026)

Twin Trigger Generative Networks for Backdoor Attacks against Object Detection
by: Li, Zhiying, et al.
Published: (2024)

Optical Lens Attack on Monocular Depth Estimation for Autonomous Driving
by: Zhou, Ce, et al.
Published: (2024)

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives
by: Xie, Shaoyuan, et al.
Published: (2025)

Exploring the Causality of End-to-End Autonomous Driving
by: Li, Jiankun, et al.
Published: (2024)

Stealthy Patch-Wise Backdoor Attack in 3D Point Cloud via Curvature Awareness
by: Feng, Yu, et al.
Published: (2025)

UniDriveDreamer: A Single-Stage Multimodal World Model for Autonomous Driving
by: Zhao, Guosheng, et al.
Published: (2026)

BackdoorVLM: A Benchmark for Backdoor Attacks on Vision-Language Models
by: Li, Juncheng, et al.
Published: (2025)

Drive-R1: Bridging Reasoning and Planning in VLMs for Autonomous Driving with Reinforcement Learning
by: Li, Yue, et al.
Published: (2025)

Dynamic Adversarial Attacks on Autonomous Driving Systems
by: Chahe, Amirhosein, et al.
Published: (2023)

VL-Trojan: Multimodal Instruction Backdoor Attacks against Autoregressive Visual Language Models
by: Liang, Jiawei, et al.
Published: (2024)

Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
by: Wang, Lu, et al.
Published: (2025)

ControlLoc: Physical-World Hijacking Attack on Visual Perception in Autonomous Driving
by: Ma, Chen, et al.
Published: (2024)