ADVEDM:Fine-grained Adversarial Attack against VLM-based Embodied Agents
Fuente:
arXiv
Saved in:
| Main Authors: | Wang, Yichen, Zhang, Hangtao, Pan, Hewen, Zhou, Ziqi, Wang, Xianlong, Guo, Peijin, Xue, Lulu, Hu, Shengshan, Li, Minghui, Zhang, Leo Yu |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Robot Collapse: Supply Chain Backdoor Attacks Against VLM-based Robotic Manipulation
by: Wang, Xianlong, et al.
Published: (2024)
by: Wang, Xianlong, et al.
Published: (2024)
BadRobot: Jailbreaking Embodied LLMs in the Physical World
by: Zhang, Hangtao, et al.
Published: (2024)
by: Zhang, Hangtao, et al.
Published: (2024)
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
by: Song, Yufei, et al.
Published: (2024)
by: Song, Yufei, et al.
Published: (2024)
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
by: Wang, Yichen, et al.
Published: (2024)
by: Wang, Yichen, et al.
Published: (2024)
SegTrans: Transferable Adversarial Examples for Segmentation Models
by: Song, Yufei, et al.
Published: (2025)
by: Song, Yufei, 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)
by: Zhang, Hangtao, et al.
Published: (2024)
Transferable Physical-World Adversarial Patches Against Object Detection in Autonomous Driving
by: Zhu, Zihui, et al.
Published: (2026)
by: Zhu, Zihui, et al.
Published: (2026)
Multi-Modality Representation Learning for Antibody-Antigen Interactions Prediction
by: Guo, Peijin, et al.
Published: (2025)
by: Guo, Peijin, et al.
Published: (2025)
Unlearnable 3D Point Clouds: Class-wise Transformation Is All You Need
by: Wang, Xianlong, et al.
Published: (2024)
by: Wang, Xianlong, et al.
Published: (2024)
Dual-View Inference Attack: Machine Unlearning Amplifies Privacy Exposure
by: Xue, Lulu, et al.
Published: (2025)
by: Xue, Lulu, et al.
Published: (2025)
DarkFed: A Data-Free Backdoor Attack in Federated Learning
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
Uncertainty-Aware Metabolic Stability Prediction with Dual-View Contrastive Learning
by: Guo, Peijin, et al.
Published: (2025)
by: Guo, Peijin, et al.
Published: (2025)
Securely Fine-tuning Pre-trained Encoders Against Adversarial Examples
by: Zhou, Ziqi, et al.
Published: (2024)
by: Zhou, Ziqi, et al.
Published: (2024)
Spa-VLM: Stealthy Poisoning Attacks on RAG-based VLM
by: Yu, Lei, et al.
Published: (2025)
by: Yu, Lei, et al.
Published: (2025)
DarkHash: A Data-Free Backdoor Attack Against Deep Hashing
by: Zhou, Ziqi, et al.
Published: (2025)
by: Zhou, Ziqi, et al.
Published: (2025)
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning
by: Zhang, Hangtao, et al.
Published: (2023)
by: Zhang, Hangtao, et al.
Published: (2023)
Towards Reliable Forgetting: A Survey on Machine Unlearning Verification
by: Xue, Lulu, et al.
Published: (2025)
by: Xue, Lulu, et al.
Published: (2025)
Test-Time Backdoor Detection for Object Detection Models
by: Zhang, Hangtao, et al.
Published: (2025)
by: Zhang, Hangtao, et al.
Published: (2025)
Erosion Attack for Adversarial Training to Enhance Semantic Segmentation Robustness
by: Song, Yufei, et al.
Published: (2026)
by: Song, Yufei, et al.
Published: (2026)
UFVideo: Towards Unified Fine-Grained Video Cooperative Understanding with Large Language Models
by: Pan, Hewen, et al.
Published: (2025)
by: Pan, Hewen, et al.
Published: (2025)
Detecting and Corrupting Convolution-based Unlearnable Examples
by: Li, Minghui, et al.
Published: (2023)
by: Li, Minghui, et al.
Published: (2023)
UnlearnShield: Shielding Forgotten Privacy against Unlearning Inversion
by: Xue, Lulu, et al.
Published: (2026)
by: Xue, Lulu, et al.
Published: (2026)
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
by: Xue, Lulu, et al.
Published: (2024)
by: Xue, Lulu, et al.
Published: (2024)
Transferable Adversarial Facial Images for Privacy Protection
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
DarkSAM: Fooling Segment Anything Model to Segment Nothing
by: Zhou, Ziqi, et al.
Published: (2024)
by: Zhou, Ziqi, et al.
Published: (2024)
Dual-branch Robust Unlearnable Examples
by: Wang, Xianlong, et al.
Published: (2026)
by: Wang, Xianlong, et al.
Published: (2026)
HiF-DTA: Hierarchical Feature Learning Network for Drug-Target Affinity Prediction
by: Li, Minghui, et al.
Published: (2025)
by: Li, Minghui, et al.
Published: (2025)
Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks
by: Zhang, Xiaomei, et al.
Published: (2025)
by: Zhang, Xiaomei, et al.
Published: (2025)
ECLIPSE: Expunging Clean-label Indiscriminate Poisons via Sparse Diffusion Purification
by: Wang, Xianlong, et al.
Published: (2024)
by: Wang, Xianlong, et al.
Published: (2024)
Vanish into Thin Air: Cross-prompt Universal Adversarial Attacks for SAM2
by: Zhou, Ziqi, et al.
Published: (2025)
by: Zhou, Ziqi, et al.
Published: (2025)
Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization
by: Zhang, Yechao, et al.
Published: (2025)
by: Zhang, Yechao, et al.
Published: (2025)
Fast Adversarial Training against Textual Adversarial Attacks
by: Yang, Yichen, et al.
Published: (2024)
by: Yang, Yichen, et al.
Published: (2024)
Transferable Physical-World Adversarial Patches Against Pedestrian Detection Models
by: Yan, Shihui, et al.
Published: (2026)
by: Yan, Shihui, et al.
Published: (2026)
Image-to-Video Diffusion: From Foundations to Open Frontiers
by: Wang, Xianlong, et al.
Published: (2026)
by: Wang, Xianlong, et al.
Published: (2026)
BEAT: Visual Backdoor Attacks on VLM-based Embodied Agents via Contrastive Trigger Learning
by: Zhan, Qiusi, et al.
Published: (2025)
by: Zhan, Qiusi, et al.
Published: (2025)
RoboJailBench: Benchmarking Adversarial Attacks and Defenses in Embodied Robotic Agents
by: Yeke, Doguhuan, et al.
Published: (2026)
by: Yeke, Doguhuan, et al.
Published: (2026)
ViDTA: Enhanced Drug-Target Affinity Prediction via Virtual Graph Nodes and Attention-based Feature Fusion
by: Li, Minghui, et al.
Published: (2024)
by: Li, Minghui, et al.
Published: (2024)
MindPower: Enabling Theory-of-Mind Reasoning in VLM-based Embodied Agents
by: Zhang, Ruoxuan, et al.
Published: (2025)
by: Zhang, Ruoxuan, et al.
Published: (2025)
Why Does Little Robustness Help? A Further Step Towards Understanding Adversarial Transferability
by: Zhang, Yechao, et al.
Published: (2023)
by: Zhang, Yechao, et al.
Published: (2023)
Compromising Embodied Agents with Contextual Backdoor Attacks
by: Liu, Aishan, et al.
Published: (2024)
by: Liu, Aishan, et al.
Published: (2024)
Similar Items
-
Robot Collapse: Supply Chain Backdoor Attacks Against VLM-based Robotic Manipulation
by: Wang, Xianlong, et al.
Published: (2024) -
BadRobot: Jailbreaking Embodied LLMs in the Physical World
by: Zhang, Hangtao, et al.
Published: (2024) -
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation
by: Song, Yufei, et al.
Published: (2024) -
Breaking Barriers in Physical-World Adversarial Examples: Improving Robustness and Transferability via Robust Feature
by: Wang, Yichen, et al.
Published: (2024) -
SegTrans: Transferable Adversarial Examples for Segmentation Models
by: Song, Yufei, et al.
Published: (2025)