Copertina

UniGuardian: A Unified Defense for Detecting Prompt Injection, Backdoor Attacks and Adversarial Attacks in Large Language Models

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Lin, Huawei, Lao, Yingjie, Geng, Tong, Yu, Tan, Zhao, Weijie
Natura:	Preprint
Pubblicazione:	2025
Soggetti:	Computation and Language Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Formalizing and Benchmarking Prompt Injection Attacks and Defenses
di: Liu, Yupei, et al.
Pubblicazione: (2023)

A Survey of Recent Backdoor Attacks and Defenses in Large Language Models
di: Zhao, Shuai, et al.
Pubblicazione: (2024)

Prompt as Triggers for Backdoor Attack: Examining the Vulnerability in Language Models
di: Zhao, Shuai, et al.
Pubblicazione: (2023)

Defense against Prompt Injection Attacks via Mixture of Encodings
di: Zhang, Ruiyi, et al.
Pubblicazione: (2025)

VisInject: Disruption != Injection -- A Dual-Dimension Evaluation of Universal Adversarial Attacks on Vision-Language Models
di: Liu, Pang, et al.
Pubblicazione: (2026)

Goal-guided Generative Prompt Injection Attack on Large Language Models
di: Zhang, Chong, et al.
Pubblicazione: (2024)

Fine-tuned Large Language Models (LLMs): Improved Prompt Injection Attacks Detection
di: Rahman, Md Abdur, et al.
Pubblicazione: (2024)

RapidUn: Influence-Driven Parameter Reweighting for Efficient Large Language Model Unlearning
di: Zhao, Guoshenghui, et al.
Pubblicazione: (2025)

An Early Categorization of Prompt Injection Attacks on Large Language Models
di: Rossi, Sippo, et al.
Pubblicazione: (2024)

DMin: Scalable Training Data Influence Estimation for Diffusion Models
di: Lin, Huawei, et al.
Pubblicazione: (2024)

Securing Large Language Models (LLMs) from Prompt Injection Attacks
di: Suri, Omar Farooq Khan, et al.
Pubblicazione: (2025)

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

Benchmarking and Defending Against Indirect Prompt Injection Attacks on Large Language Models
di: Yi, Jingwei, et al.
Pubblicazione: (2023)

Backdoor-Powered Prompt Injection Attacks Nullify Defense Methods
di: Chen, Yulin, et al.
Pubblicazione: (2025)

Scaling Behavior of Machine Translation with Large Language Models under Prompt Injection Attacks
di: Sun, Zhifan, et al.
Pubblicazione: (2024)

BackdoorAgent: A Unified Framework for Backdoor Attacks on LLM-based Agents
di: Feng, Yunhao, et al.
Pubblicazione: (2026)

Unified Defense for Large Language Models against Jailbreak and Fine-Tuning Attacks in Education
di: Yi, Xin, et al.
Pubblicazione: (2025)

Human-Interpretable Adversarial Prompt Attack on Large Language Models with Situational Context
di: Das, Nilanjana, et al.
Pubblicazione: (2024)

UltraClean: A Simple Framework to Train Robust Neural Networks against Backdoor Attacks
di: Zhao, Bingyin, et al.
Pubblicazione: (2023)

HIVE: Hidden-Evidence Verification for Hallucination Detection in Diffusion Large Language Models
di: Zhao, Guoshenghui, et al.
Pubblicazione: (2026)

Prompt Injection Attacks in Defended Systems
di: Khomsky, Daniil, et al.
Pubblicazione: (2024)

FATH: Authentication-based Test-time Defense against Indirect Prompt Injection Attacks
di: Wang, Jiongxiao, et al.
Pubblicazione: (2024)

TF-Attack: Transferable and Fast Adversarial Attacks on Large Language Models
di: Li, Zelin, et al.
Pubblicazione: (2024)

Defense Against Syntactic Textual Backdoor Attacks with Token Substitution
di: Li, Xinglin, et al.
Pubblicazione: (2024)

Checkpoint-GCG: Auditing and Attacking Fine-Tuning-Based Prompt Injection Defenses
di: Yang, Xiaoxue, et al.
Pubblicazione: (2025)

The Resurgence of GCG Adversarial Attacks on Large Language Models
di: Tan, Yuting, et al.
Pubblicazione: (2025)

Backdooring Instruction-Tuned Large Language Models with Virtual Prompt Injection
di: Yan, Jun, et al.
Pubblicazione: (2023)

Adversarial Attacks on LLM-as-a-Judge Systems: Insights from Prompt Injections
di: Maloyan, Narek, et al.
Pubblicazione: (2025)

Universal Vulnerabilities in Large Language Models: Backdoor Attacks for In-context Learning
di: Zhao, Shuai, et al.
Pubblicazione: (2024)

DualGuard: Dual-stream Large Language Model Watermarking Defense against Paraphrase and Spoofing Attack
di: Li, Hao, et al.
Pubblicazione: (2025)

Test-Time Backdoor Attacks on Multimodal Large Language Models
di: Lu, Dong, et al.
Pubblicazione: (2024)

DebiasRAG: A Tuning-Free Path to Fair Generation in Large Language Models through Retrieval-Augmented Generation
di: Chu, Rui, et al.
Pubblicazione: (2026)

Adversarial Prompt Injection Attack on Multimodal Large Language Models
di: Ding, Meiwen, et al.
Pubblicazione: (2026)

Distractor Injection Attacks on Large Reasoning Models: Characterization and Defense
di: Zhang, Zhehao, et al.
Pubblicazione: (2025)

Robustness of Large Language Models Against Adversarial Attacks
di: Tao, Yiyi, et al.
Pubblicazione: (2024)

Adversarial Attacks and Defense for Conversation Entailment Task
di: Yang, Zhenning, et al.
Pubblicazione: (2024)

Privacy in Large Language Models: Attacks, Defenses and Future Directions
di: Li, Haoran, et al.
Pubblicazione: (2023)

Robustness of Prompting: Enhancing Robustness of Large Language Models Against Prompting Attacks
di: Mu, Lin, et al.
Pubblicazione: (2025)

Token-wise Influential Training Data Retrieval for Large Language Models
di: Lin, Huawei, et al.
Pubblicazione: (2024)

Self-Evaluation as a Defense Against Adversarial Attacks on LLMs
di: Brown, Hannah, et al.
Pubblicazione: (2024)