Cover Image

Evil Vizier: Vulnerabilities of LLM-Integrated XR Systems

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yicheng, Huang, Zijian, Chen, Sophie, Shayegani, Erfan, Chen, Jiasi, Abu-Ghazaleh, Nael
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Siren Song: Manipulating Pose Estimation in XR Headsets Using Acoustic Attacks
by: Huang, Zijian, et al.
Published: (2025)

That Doesn't Go There: Attacks on Shared State in Multi-User Augmented Reality Applications
by: Slocum, Carter, et al.
Published: (2023)

I Know What You Sync: Covert and Side Channel Attacks on File Systems via syncfs
by: Gu, Cheng, et al.
Published: (2024)

Misaligned Roles, Misplaced Images: Structural Input Perturbations Expose Multimodal Alignment Blind Spots
by: Shayegani, Erfan, et al.
Published: (2025)

NVBleed: Covert and Side-Channel Attacks on NVIDIA Multi-GPU Interconnect
by: Zhang, Yicheng, et al.
Published: (2025)

Beyond the Bridge: Contention-Based Covert and Side Channel Attacks on Multi-GPU Interconnect
by: Zhang, Yicheng, et al.
Published: (2024)

Cross-Modal Safety Alignment: Is textual unlearning all you need?
by: Chakraborty, Trishna, et al.
Published: (2024)

ShadowScope: GPU Monitoring and Validation via Composable Side Channel Signals
by: Almusaddar, Ghadeer, et al.
Published: (2025)

Token-based Vehicular Security System (TVSS): Scalable, Secure, Low-latency Public Key Infrastructure for Connected Vehicles
by: Rabiah, Abdulrahman Bin, et al.
Published: (2024)

Just Do It!? Computer-Use Agents Exhibit Blind Goal-Directedness
by: Shayegani, Erfan, et al.
Published: (2025)

Securing Large Language Models: Threats, Vulnerabilities and Responsible Practices
by: Abdali, Sara, et al.
Published: (2024)

Attention Eclipse: Manipulating Attention to Bypass LLM Safety-Alignment
by: Zaree, Pedram, et al.
Published: (2025)

Demystifying RCE Vulnerabilities in LLM-Integrated Apps
by: Liu, Tong, et al.
Published: (2023)

VulBinLLM: LLM-powered Vulnerability Detection for Stripped Binaries
by: Hussain, Nasir, et al.
Published: (2025)

EvilScreen Attack: Smart TV Hijacking via Multi-channel Remote Control Mimicry
by: Zhang, Yiwei, et al.
Published: (2022)

LogicScan: An LLM-driven Framework for Detecting Business Logic Vulnerabilities in Smart Contracts
by: Gao, Jiaqi, et al.
Published: (2026)

Security Vulnerabilities in Software Supply Chain for Autonomous Vehicles
by: Haque, Md Wasiul, et al.
Published: (2025)

All You Need Is A Fuzzing Brain: An LLM-Powered System for Automated Vulnerability Detection and Patching
by: Sheng, Ze, et al.
Published: (2025)

Powering the Future of IoT: Federated Learning for Optimized Power Consumption and Enhanced Privacy
by: Shirvani, Ghazaleh, et al.
Published: (2024)

LLM-BSCVM: An LLM-Based Blockchain Smart Contract Vulnerability Management Framework
by: Jin, Yanli, et al.
Published: (2025)

Dynamic Graph-based Fingerprinting of In-browser Cryptomining
by: Sermchaiwong, Tanapoom, et al.
Published: (2025)

PRISM-XR: Empowering Privacy-Aware XR Collaboration with Multimodal Large Language Models
by: Chen, Jiangong, et al.
Published: (2026)

Secure Aggregation in Federated Learning using Multiparty Homomorphic Encryption
by: Hosseini, Erfan, et al.
Published: (2025)

FuzzingBrain V2: A Multi-Agent LLM System for Automated Vulnerability Discovery and Reproduction
by: Sheng, Ze, et al.
Published: (2026)

Don't Trust Your Upstream: Exploiting LLM Multi-Agent System via Topology-Guided Adversarial Propagation
by: Liang, Ruichao, et al.
Published: (2025)

RLCracker: Evaluating the Worst-Case Vulnerability of LLM Watermarks with Adaptive RL Attacks
by: Huang, Hanbo, et al.
Published: (2025)

LLM-SmartAudit: Advanced Smart Contract Vulnerability Detection
by: Wei, Zhiyuan, et al.
Published: (2024)

On the Vulnerability of Text Sanitization
by: Tong, Meng, et al.
Published: (2024)

Exposing and Defending Membership Leakage in Vulnerability Prediction Models
by: Liao, Yihan, et al.
Published: (2025)

The Trust Paradox in LLM-Based Multi-Agent Systems: When Collaboration Becomes a Security Vulnerability
by: Xu, Zijie, et al.
Published: (2025)

Federated Learning: Attacks, Defenses, Opportunities, and Challenges
by: Shirvani, Ghazaleh, et al.
Published: (2024)

Distilling Lightweight Language Models for C/C++ Vulnerabilities
by: Wei, Zhiyuan, et al.
Published: (2025)

Vulnerability Mitigation System (VMS): LLM Agent and Evaluation Framework for Autonomous Penetration Testing
by: Abdulzada, Farzana
Published: (2025)

LProtector: An LLM-driven Vulnerability Detection System
by: Sheng, Ze, et al.
Published: (2024)

VULSOLVER: Vulnerability Detection via LLM-Driven Constraint Solving
by: Li, Xiang, et al.
Published: (2025)

The Vulnerability of LLM Rankers to Prompt Injection Attacks
by: Yin, Yu, et al.
Published: (2026)

Modeling Hierarchical Thinking in Large Reasoning Models
by: Shahariar, G M, et al.
Published: (2025)

When Safety Becomes a Vulnerability: Exploiting LLM Alignment Homogeneity for Transferable Blocking in RAG
by: Li, Junchen, et al.
Published: (2026)

OPAF: Optimized Secure Two-Party Computation Protocols for Nonlinear Activation Functions in Recurrent Neural Network
by: Feng, Qian, et al.
Published: (2024)

SAGE: Signal-Amplified Guided Embeddings for LLM-based Vulnerability Detection
by: Shan, Zhengyang, et al.
Published: (2026)