Cover Image

Adversarial Attacks on Robotic Vision Language Action Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Jones, Eliot Krzysztof, Robey, Alexander, Zou, Andy, Ravichandran, Zachary, Pappas, George J., Hassani, Hamed, Fredrikson, Matt, Kolter, J. Zico
Format:	Preprint
Published:	2025
Subjects:	Robotics Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Jailbreaking LLM-Controlled Robots
by: Robey, Alexander, et al.
Published: (2024)

Safety Guardrails for LLM-Enabled Robots
by: Ravichandran, Zachary, et al.
Published: (2025)

Contextual Safety Reasoning and Grounding for Open-World Robots
by: Ravichandran, Zachary, et al.
Published: (2026)

Evaluating Language Model Reasoning about Confidential Information
by: Sam, Dylan, et al.
Published: (2025)

SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks
by: Robey, Alexander, et al.
Published: (2023)

Transferable Adversarial Attacks on Black-Box Vision-Language Models
by: Hu, Kai, et al.
Published: (2025)

D-REX: A Benchmark for Detecting Deceptive Reasoning in Large Language Models
by: Krishna, Satyapriya, et al.
Published: (2025)

Distilling On-device Language Models for Robot Planning with Minimal Human Intervention
by: Ravichandran, Zachary, et al.
Published: (2025)

Adversarial Training Should Be Cast as a Non-Zero-Sum Game
by: Robey, Alexander, et al.
Published: (2023)

SPINE: Online Semantic Planning for Missions with Incomplete Natural Language Specifications in Unstructured Environments
by: Ravichandran, Zachary, et al.
Published: (2024)

Preventing Robotic Jailbreaking via Multimodal Domain Adaptation
by: Marchiori, Francesco, et al.
Published: (2025)

Dojo: A Differentiable Physics Engine for Robotics
by: Howell, Taylor A., et al.
Published: (2022)

Heterogeneous Robot Collaboration in Unstructured Environments with Grounded Generative Intelligence
by: Ravichandran, Zachary, et al.
Published: (2025)

Deploying Foundation Model-Enabled Air and Ground Robots in the Field: Challenges and Opportunities
by: Ravichandran, Zachary, et al.
Published: (2025)

Benchmarking Misuse Mitigation Against Covert Adversaries
by: Brown, Davis, et al.
Published: (2025)

Jailbreaking Black Box Large Language Models in Twenty Queries
by: Chao, Patrick, et al.
Published: (2023)

Exploring the Adversarial Vulnerabilities of Vision-Language-Action Models in Robotics
by: Wang, Taowen, et al.
Published: (2024)

Automated Black-box Prompt Engineering for Personalized Text-to-Image Generation
by: He, Yutong, et al.
Published: (2024)

Safety Pretraining: Toward the Next Generation of Safe AI
by: Maini, Pratyush, et al.
Published: (2025)

Defending Large Language Models against Jailbreak Attacks via Semantic Smoothing
by: Ji, Jiabao, et al.
Published: (2024)

Toward Understanding the Transferability of Adversarial Suffixes in Large Language Models
by: Ball, Sarah, et al.
Published: (2025)

Air-Ground Collaboration for Language-Specified Missions in Unknown Environments
by: Cladera, Fernando, et al.
Published: (2025)

Chordal Sparsity for Lipschitz Constant Estimation of Deep Neural Networks
by: Xue, Anton, et al.
Published: (2022)

Explainable Adversarial-Robust Vision-Language-Action Model for Robotic Manipulation
by: Kim, Ju-Young, et al.
Published: (2025)

When Should We Introduce Safety Interventions During Pretraining?
by: Sam, Dylan, et al.
Published: (2026)

Embodied AI: Emerging Risks and Opportunities for Policy Action
by: Perlo, Jared, et al.
Published: (2025)

I-FailSense: Towards General Robotic Failure Detection with Vision-Language Models
by: Grislain, Clemence, et al.
Published: (2025)

Asynchronous Fast-Slow Vision-Language-Action Policies for Whole-Body Robotic Manipulation
by: Zou, Teqiang, et al.
Published: (2025)

Metamorphic Testing of Vision-Language Action-Enabled Robots
by: Valle, Pablo, et al.
Published: (2026)

NaVILA: Legged Robot Vision-Language-Action Model for Navigation
by: Cheng, An-Chieh, et al.
Published: (2024)

Green-VLA: Staged Vision-Language-Action Model for Generalist Robots
by: Apanasevich, I., et al.
Published: (2026)

Graph Neural Networks for Multi-Robot Active Information Acquisition
by: Tzes, Mariliza, et al.
Published: (2022)

DAM-VLA: A Dynamic Action Model-Based Vision-Language-Action Framework for Robot Manipulation
by: Peng, Xiongfeng, et al.
Published: (2026)

DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
by: Xu, Zonghuan, et al.
Published: (2025)

ReconVLA: An Uncertainty-Guided and Failure-Aware Vision-Language-Action Framework for Robotic Control
by: Chen, Lingling, et al.
Published: (2026)

Hijacking Vision-and-Language Navigation Agents with Adversarial Environmental Attacks
by: Yang, Zijiao, et al.
Published: (2024)

Steerable Vision-Language-Action Policies for Embodied Reasoning and Hierarchical Control
by: Chen, William, et al.
Published: (2026)

Robotic Assistant: Completing Collaborative Tasks with Dexterous Vision-Language-Action Models
by: An, Boshi, et al.
Published: (2025)

VLAS: Vision-Language-Action Model With Speech Instructions For Customized Robot Manipulation
by: Zhao, Wei, et al.
Published: (2025)

Health-Conditioned Vision-Language-Action Models for Malfunction-Aware Robot Control
by: Arslan, Hüseyin, et al.
Published: (2026)