Image de couverture de livre

Towards Robust and Secure Embodied AI: A Survey on Vulnerabilities and Attacks

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Xing, Wenpeng, Li, Minghao, Li, Mohan, Han, Meng
Format:	Preprint
Publié:	2025
Sujets:	Cryptography and Security Artificial Intelligence Robotics
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Safety in Embodied AI: A Survey of Risks, Attacks, and Defenses
par: Li, Xiao, et autres
Publié: (2026)

Drones that Think on their Feet: Sudden Landing Decisions with Embodied AI
par: Barbosa, Diego Ortiz, et autres
Publié: (2025)

SoK: On the Semantic AI Security in Autonomous Driving
par: Shen, Junjie, et autres
Publié: (2022)

MCP-Guard: A Multi-Stage Defense-in-Depth Framework for Securing Model Context Protocol in Agentic AI
par: Xing, Wenpeng, et autres
Publié: (2025)

SafeAgentBench: A Benchmark for Safe Task Planning of Embodied LLM Agents
par: Yin, Sheng, et autres
Publié: (2024)

What Breaks Embodied AI Security:LLM Vulnerabilities, CPS Flaws,or Something Else?
par: Ma, Boyang, et autres
Publié: (2026)

DropVLA: An Action-Level Backdoor Attack on Vision-Language-Action Models
par: Xu, Zonghuan, et autres
Publié: (2025)

Time-Constrained Intelligent Adversaries for Automation Vulnerability Testing: A Multi-Robot Patrol Case Study
par: Ward, James C., et autres
Publié: (2025)

Enhancing Privacy and Security of Autonomous UAV Navigation
par: Aggarwal, Vatsal, et autres
Publié: (2024)

Not What You Asked For: Typographic Attacks in Household Robot Manipulation
par: Iranmanesh, Ali, et autres
Publié: (2026)

Temporal UI State Inconsistency in Desktop GUI Agents: Formalizing and Defending Against TOCTOU Attacks on Computer-Use Agents
par: Xu, Wenpeng
Publié: (2026)

Towards Secure MLOps: Surveying Attacks, Mitigation Strategies, and Research Challenges
par: Patel, Raj, et autres
Publié: (2025)

SilentDrift: Exploiting Action Chunking for Stealthy Backdoor Attacks on Vision-Language-Action Models
par: Xu, Bingxin, et autres
Publié: (2026)

Latent Fusion Jailbreak: Blending Harmful and Harmless Representations to Elicit Unsafe LLM Outputs
par: Xing, Wenpeng, et autres
Publié: (2025)

ExploitGym: Can AI Agents Turn Security Vulnerabilities into Real Attacks?
par: Wang, Zhun, et autres
Publié: (2026)

Cordon-MAS: Defending RAG against Knowledge Poisoning via Information-Flow Control
par: Yu, Zhe, et autres
Publié: (2026)

A Survey: Towards Privacy and Security in Mobile Large Language Models
par: Xu, Honghui, et autres
Publié: (2025)

LLMs in Software Security: A Survey of Vulnerability Detection Techniques and Insights
par: Sheng, Ze, et autres
Publié: (2025)

PatchPilot: A Cost-Efficient Software Engineering Agent with Early Attempts on Formal Verification
par: Li, Hongwei, et autres
Publié: (2025)

The Attack and Defense Landscape of Agentic AI: A Comprehensive Survey
par: Kim, Juhee, et autres
Publié: (2026)

MEraser: An Effective Fingerprint Erasure Approach for Large Language Models
par: Zhang, Jingxuan, et autres
Publié: (2025)

Towards Secure Agent Skills: Architecture, Threat Taxonomy, and Security Analysis
par: Li, Zhiyuan, et autres
Publié: (2026)

MalURLBench: A Benchmark Evaluating Agents' Vulnerabilities When Processing Web URLs
par: Kong, Dezhang, et autres
Publié: (2026)

Quantifying Security Vulnerabilities: A Metric-Driven Security Analysis of Gaps in Current AI Standards
par: Madhavan, Keerthana, et autres
Publié: (2025)

Involuntary Jailbreak: On Self-Prompting Attacks
par: Guo, Yangyang, et autres
Publié: (2025)

AVIATOR: Towards AI-Agentic Vulnerability Injection Workflow for High-Fidelity, Large-Scale Code Security Dataset
par: Lbath, Amine, et autres
Publié: (2025)

Vulnerabilities in AI Code Generators: Exploring Targeted Data Poisoning Attacks
par: Cotroneo, Domenico, et autres
Publié: (2023)

GradingAttack: Exposing Security Vulnerabilities in LLM Based Educational Grading Agents
par: Li, Xueyi, et autres
Publié: (2026)

A Survey on Vulnerability Prioritization: Taxonomy, Metrics, and Research Challenges
par: Jiang, Yuning, et autres
Publié: (2025)

Investigating Vulnerabilities and Defenses Against Audio-Visual Attacks: A Comprehensive Survey Emphasizing Multimodal Models
par: Wen, Jinming, et autres
Publié: (2025)

LLMs can be Dangerous Reasoners: Analyzing-based Jailbreak Attack on Large Language Models
par: Lin, Shi, et autres
Publié: (2024)

Securing AI Systems: A Guide to Known Attacks and Impacts
par: Kiribuchi, Naoto, et autres
Publié: (2025)

ForgetMark: Stealthy Fingerprint Embedding via Targeted Unlearning in Language Models
par: Xu, Zhenhua, et autres
Publié: (2026)

Securing AI Agents Against Prompt Injection Attacks
par: Ramakrishnan, Badrinath, et autres
Publié: (2025)

Data Poisoning Vulnerabilities Across Healthcare AI Architectures: A Security Threat Analysis
par: Abtahi, Farhad, et autres
Publié: (2025)

AI Agents Under Threat: A Survey of Key Security Challenges and Future Pathways
par: Deng, Zehang, et autres
Publié: (2024)

The System Prompt Is the Attack Surface: How LLM Agent Configuration Shapes Security and Creates Exploitable Vulnerabilities
par: Litvak, Ron
Publié: (2026)

RAT: Adversarial Attacks on Deep Reinforcement Agents for Targeted Behaviors
par: Bai, Fengshuo, et autres
Publié: (2024)

Diagnosis-guided Attack Recovery for Securing Robotic Vehicles from Sensor Deception Attacks
par: Dash, Pritam, et autres
Publié: (2022)

Towards Compositional Generalization in LLMs for Smart Contract Security: A Case Study on Reentrancy Vulnerabilities
par: Zhou, Ying, et autres
Publié: (2026)