Module-wise Adaptive Adversarial Training for End-to-end Autonomous Driving
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Tianyuan, Wang, Lu, Kang, Jiaqi, Zhang, Xinwei, Liang, Siyuan, Chen, Yuwei, Liu, Aishan, Liu, Xianglong |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
by: Wang, Lu, et al.
Published: (2025)
by: Wang, Lu, et al.
Published: (2025)
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
Towards Robust Physical-world Backdoor Attacks on Lane Detection
by: Zhang, Xinwei, et al.
Published: (2024)
by: Zhang, Xinwei, et al.
Published: (2024)
Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2025)
by: Zhang, Tianyuan, et al.
Published: (2025)
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
by: Liu, Jiangfan, et al.
Published: (2025)
by: Liu, Jiangfan, et al.
Published: (2025)
Jailbreak Vision Language Models via Bi-Modal Adversarial Prompt
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
LanEvil: Benchmarking the Robustness of Lane Detection to Environmental Illusions
by: Zhang, Tianyuan, et al.
Published: (2024)
by: Zhang, Tianyuan, et al.
Published: (2024)
Manipulating Multimodal Agents via Cross-Modal Prompt Injection
by: Wang, Le, et al.
Published: (2025)
by: Wang, Le, et al.
Published: (2025)
UniUGP: Unifying Understanding, Generation, and Planing For End-to-end Autonomous Driving
by: Lu, Hao, et al.
Published: (2025)
by: Lu, Hao, et al.
Published: (2025)
GraphAD: Interaction Scene Graph for End-to-end Autonomous Driving
by: Zhang, Yunpeng, et al.
Published: (2024)
by: Zhang, Yunpeng, et al.
Published: (2024)
Universal Camouflage Attack on Vision-Language Models for Autonomous Driving
by: Kong, Dehong, et al.
Published: (2025)
by: Kong, Dehong, et al.
Published: (2025)
PromptSafe: Gated Prompt Tuning for Safe Text-to-Image Generation
by: Jing, Zonglei, et al.
Published: (2025)
by: Jing, Zonglei, et al.
Published: (2025)
Unraveling the Effects of Synthetic Data on End-to-End Autonomous Driving
by: Ge, Junhao, et al.
Published: (2025)
by: Ge, Junhao, et al.
Published: (2025)
CogMorph: Cognitive Morphing Attacks for Text-to-Image Models
by: Jing, Zonglei, et al.
Published: (2025)
by: Jing, Zonglei, et al.
Published: (2025)
Closing the Navigation Compliance Gap in End-to-end Autonomous Driving
by: Wu, Hanfeng, et al.
Published: (2025)
by: Wu, Hanfeng, et al.
Published: (2025)
PPAD: Iterative Interactions of Prediction and Planning for End-to-end Autonomous Driving
by: Chen, Zhili, et al.
Published: (2023)
by: Chen, Zhili, et al.
Published: (2023)
RainDiff: End-to-end Precipitation Nowcasting Via Token-wise Attention Diffusion
by: Nguyen, Thao, et al.
Published: (2025)
by: Nguyen, Thao, et al.
Published: (2025)
AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning
by: Zhou, Zewei, et al.
Published: (2025)
by: Zhou, Zewei, et al.
Published: (2025)
GenAD: Generative End-to-End Autonomous Driving
by: Zheng, Wenzhao, et al.
Published: (2024)
by: Zheng, Wenzhao, et al.
Published: (2024)
DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model
by: Xu, Zhenhua, et al.
Published: (2023)
by: Xu, Zhenhua, et al.
Published: (2023)
UncAD: Towards Safe End-to-end Autonomous Driving via Online Map Uncertainty
by: Yang, Pengxuan, et al.
Published: (2025)
by: Yang, Pengxuan, et al.
Published: (2025)
End-to-end Autonomous Driving: Challenges and Frontiers
by: Chen, Li, et al.
Published: (2023)
by: Chen, Li, et al.
Published: (2023)
Adversarial Flow Matching for Imperceptible Attacks on End-to-End Autonomous Driving
by: Zeng, Xinyu, et al.
Published: (2026)
by: Zeng, Xinyu, et al.
Published: (2026)
ZTRS: Zero-Imitation End-to-end Autonomous Driving with Trajectory Scoring
by: Li, Zhenxin, et al.
Published: (2025)
by: Li, Zhenxin, et al.
Published: (2025)
Diffusion-Based Generative Models for 3D Occupancy Prediction in Autonomous Driving
by: Wang, Yunshen, et al.
Published: (2025)
by: Wang, Yunshen, et al.
Published: (2025)
DiffusionDriveV2: Reinforcement Learning-Constrained Truncated Diffusion Modeling in End-to-End Autonomous Driving
by: Zou, Jialv, et al.
Published: (2025)
by: Zou, Jialv, et al.
Published: (2025)
AlignDrive: Aligned Lateral-Longitudinal Planning for End-to-End Autonomous Driving
by: Wu, Yanhao, et al.
Published: (2026)
by: Wu, Yanhao, et al.
Published: (2026)
DiffusionDrive: Truncated Diffusion Model for End-to-End Autonomous Driving
by: Liao, Bencheng, et al.
Published: (2024)
by: Liao, Bencheng, et al.
Published: (2024)
CorrectAD: A Self-Correcting Agentic System to Improve End-to-end Planning in Autonomous Driving
by: Ma, Enhui, et al.
Published: (2025)
by: Ma, Enhui, et al.
Published: (2025)
Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)
by: Geng, Jiaheng, et al.
Published: (2025)
Fully Unified Motion Planning for End-to-End Autonomous Driving
by: Liu, Lin, et al.
Published: (2025)
by: Liu, Lin, et al.
Published: (2025)
Unveiling the Safety of GPT-4o: An Empirical Study using Jailbreak Attacks
by: Ying, Zonghao, et al.
Published: (2024)
by: Ying, Zonghao, et al.
Published: (2024)
Enhancing End-to-End Autonomous Driving with Risk Semantic Distillaion from VLM
by: Qin, Jack, et al.
Published: (2025)
by: Qin, Jack, et al.
Published: (2025)
Towards Collaborative Autonomous Driving: Simulation Platform and End-to-End System
by: Liu, Genjia, et al.
Published: (2024)
by: Liu, Genjia, et al.
Published: (2024)
ResWorld: Temporal Residual World Model for End-to-End Autonomous Driving
by: Zhang, Jinqing, et al.
Published: (2026)
by: Zhang, Jinqing, et al.
Published: (2026)
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance
by: Guo, Ziang, et al.
Published: (2024)
by: Guo, Ziang, et al.
Published: (2024)
TrajDiff: End-to-end Autonomous Driving without Perception Annotation
by: Gui, Xingtai, et al.
Published: (2025)
by: Gui, Xingtai, et al.
Published: (2025)
ComDrive: Comfort-Oriented End-to-End Autonomous Driving
by: Wang, Junming, et al.
Published: (2024)
by: Wang, Junming, et al.
Published: (2024)
Senna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving
by: Jiang, Bo, et al.
Published: (2024)
by: Jiang, Bo, et al.
Published: (2024)
PerlAD: Towards Enhanced Closed-loop End-to-end Autonomous Driving with Pseudo-simulation-based Reinforcement Learning
by: Gao, Yinfeng, et al.
Published: (2026)
by: Gao, Yinfeng, et al.
Published: (2026)
Similar Items
-
Black-Box Adversarial Attack on Vision Language Models for Autonomous Driving
by: Wang, Lu, et al.
Published: (2025) -
Visual Adversarial Attack on Vision-Language Models for Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2024) -
Towards Robust Physical-world Backdoor Attacks on Lane Detection
by: Zhang, Xinwei, et al.
Published: (2024) -
Bench2ADVLM: A Closed-Loop Benchmark for Vision-language Models in Autonomous Driving
by: Zhang, Tianyuan, et al.
Published: (2025) -
Adversarial Generation and Collaborative Evolution of Safety-Critical Scenarios for Autonomous Vehicles
by: Liu, Jiangfan, et al.
Published: (2025)