Cover Image

Peering Behind the Shield: Guardrail Identification in Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Yang, Ziqing, Wu, Yixin, Wen, Rui, Backes, Michael, Zhang, Yang
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

The Challenge of Identifying the Origin of Black-Box Large Language Models
by: Yang, Ziqing, et al.
Published: (2025)

SOS! Soft Prompt Attack Against Open-Source Large Language Models
by: Yang, Ziqing, et al.
Published: (2024)

Synthetic Artifact Auditing: Tracing LLM-Generated Synthetic Data Usage in Downstream Applications
by: Wu, Yixin, et al.
Published: (2025)

AttackPilot: Autonomous Inference Attacks Against ML Services With LLM-Based Agents
by: Wu, Yixin, et al.
Published: (2025)

Efficient Data-Free Model Stealing with Label Diversity
by: Liu, Yiyong, et al.
Published: (2024)

On the Proactive Generation of Unsafe Images From Text-To-Image Models Using Benign Prompts
by: Wu, Yixin, et al.
Published: (2023)

BadBone: Backdoor Attacks Against Backbone Models in Visual Prompt Learning
by: Yang, Ziqing, et al.
Published: (2026)

Image-Perfect Imperfections: Safety, Bias, and Authenticity in the Shadow of Text-To-Image Model Evolution
by: Wu, Yixin, et al.
Published: (2024)

Adjacent Words, Divergent Intents: Jailbreaking Large Language Models via Task Concurrency
by: Jiang, Yukun, et al.
Published: (2025)

Understanding Data Importance in Machine Learning Attacks: Does Valuable Data Pose Greater Harm?
by: Wen, Rui, et al.
Published: (2024)

Voice Jailbreak Attacks Against GPT-4o
by: Shen, Xinyue, et al.
Published: (2024)

SoK: Data Reconstruction Attacks Against Machine Learning Models: Definition, Metrics, and Benchmark
by: Wen, Rui, et al.
Published: (2025)

Pop Quiz Attack: Black-box Membership Inference Attacks Against Large Language Models
by: Chen, Zeyuan, et al.
Published: (2026)

Robustness Over Time: Understanding Adversarial Examples' Effectiveness on Longitudinal Versions of Large Language Models
by: Liu, Yugeng, et al.
Published: (2023)

Membership Inference Attacks Against In-Context Learning
by: Wen, Rui, et al.
Published: (2024)

Bridging the Gap in Vision Language Models in Identifying Unsafe Concepts Across Modalities
by: Qu, Yiting, et al.
Published: (2025)

OpenGuardrails: A Configurable, Unified, and Scalable Guardrails Platform for Large Language Models
by: Wang, Thomas, et al.
Published: (2025)

SoK: Evaluating Jailbreak Guardrails for Large Language Models
by: Wang, Xunguang, et al.
Published: (2025)

"Do Anything Now": Characterizing and Evaluating In-The-Wild Jailbreak Prompts on Large Language Models
by: Shen, Xinyue, et al.
Published: (2023)

OneShield -- the Next Generation of LLM Guardrails
by: DeLuca, Chad, et al.
Published: (2025)

Triaging Threats to Specialized Guardrails
by: Mo, Wenjie Jacky, et al.
Published: (2026)

$\texttt{ModSCAN}$: Measuring Stereotypical Bias in Large Vision-Language Models from Vision and Language Modalities
by: Jiang, Yukun, et al.
Published: (2024)

Composite Backdoor Attacks Against Large Language Models
by: Huang, Hai, et al.
Published: (2023)

HateBench: Benchmarking Hate Speech Detectors on LLM-Generated Content and Hate Campaigns
by: Shen, Xinyue, et al.
Published: (2025)

From Texts to Shields: Convergence of Large Language Models and Cybersecurity
by: Li, Tao, et al.
Published: (2025)

Hate in Plain Sight: On the Risks of Moderating AI-Generated Hateful Illusions
by: Qu, Yiting, et al.
Published: (2025)

A Fingerprint for Large Language Models
by: Yang, Zhiguang, et al.
Published: (2024)

Generated Data with Fake Privacy: Hidden Dangers of Fine-tuning Large Language Models on Generated Data
by: Akkus, Atilla, et al.
Published: (2024)

Towards Identification and Intervention of Safety-Critical Parameters in Large Language Models
by: Qi, Weiwei, et al.
Published: (2026)

Watermarking Text Data on Large Language Models for Dataset Copyright
by: Liu, Yixin, et al.
Published: (2023)

Behind the Mask: Benchmarking Camouflaged Jailbreaks in Large Language Models
by: Zheng, Youjia, et al.
Published: (2025)

Link Stealing Attacks Against Inductive Graph Neural Networks
by: Wu, Yixin, et al.
Published: (2024)

Prompt Stealing Attacks Against Text-to-Image Generation Models
by: Shen, Xinyue, et al.
Published: (2023)

Instruction Backdoor Attacks Against Customized LLMs
by: Zhang, Rui, et al.
Published: (2024)

SGuard-v1: Safety Guardrail for Large Language Models
by: Lee, JoonHo, et al.
Published: (2025)

Provably Secure Agent Guardrail
by: Wu, Benlong, et al.
Published: (2026)

JADES: A Universal Framework for Jailbreak Assessment via Decompositional Scoring
by: Chu, Junjie, et al.
Published: (2025)

JailbreakRadar: Comprehensive Assessment of Jailbreak Attacks Against LLMs
by: Chu, Junjie, et al.
Published: (2024)

Evaluating the Robustness of Large Language Model Safety Guardrails Against Adversarial Attacks
by: Young, Richard J.
Published: (2025)

ML-Bench&Guard: Policy-Grounded Multilingual Safety Benchmark and Guardrail for Large Language Models
by: Zhao, Yunhan, et al.
Published: (2026)