Cover Image

HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zhang, Yucheng, Li, Qinfeng, Du, Tianyu, Zhang, Xuhong, Zhao, Xinkui, Feng, Zhengwen, Yin, Jianwei
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence Information Retrieval
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
by: Mu, Junjie, et al.
Published: (2026)

Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
by: Bagwe, Gaurav, et al.
Published: (2025)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Hijacking Text Heritage: Hiding the Human Signature through Homoglyphic Substitution
by: Dilworth, Robert
Published: (2026)

Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
by: Choi, Chanwoo, et al.
Published: (2025)

SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)

Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)

ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
by: Wang, Baiqiang, et al.
Published: (2025)

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings
by: Yin, Yu, et al.
Published: (2026)

Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models
by: Gong, Yuyang, et al.
Published: (2025)

Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)

Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval
by: Liu, Yu, et al.
Published: (2026)

RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
by: Cheng, Yihang, et al.
Published: (2024)

DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)

Phishing Email Detection Using Large Language Models
by: Hasan, Najmul, et al.
Published: (2025)

Retrieval Pivot Attacks in Hybrid RAG: Measuring and Mitigating Amplified Leakage from Vector Seeds to Graph Expansion
by: Thornton, Scott
Published: (2026)

Hijacking Attacks against Neural Networks by Analyzing Training Data
by: Ge, Yunjie, et al.
Published: (2024)

BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)

RobustMask: Certified Robustness against Adversarial Neural Ranking Attack via Randomized Masking
by: Liu, Jiawei, et al.
Published: (2025)

Few-shot Model Extraction Attacks against Sequential Recommender Systems
by: Zhang, Hui, et al.
Published: (2024)

BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
by: Gao, Chengcai, et al.
Published: (2026)

Adversarial Hubness in Multi-Modal Retrieval
by: Zhang, Tingwei, et al.
Published: (2024)

Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)

RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
by: Feng, Xiaohua, et al.
Published: (2025)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)

Multi-granular Adversarial Attacks against Black-box Neural Ranking Models
by: Liu, Yu-An, et al.
Published: (2024)

Decoding TRON: A Comprehensive Framework for Large-Scale Blockchain Data Extraction and Exploration
by: Mao, Qian'ang, et al.
Published: (2025)

KGV: Integrating Large Language Models with Knowledge Graphs for Cyber Threat Intelligence Credibility Assessment
by: Wu, Zongzong, et al.
Published: (2024)

Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
by: Yao, Mengyu, et al.
Published: (2026)

Unveiling the Resilience of LLM-Enhanced Search Engines against Black-Hat SEO Manipulation
by: Chen, Pei, et al.
Published: (2026)

Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)

SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)

Vera Verto: Multimodal Hijacking Attack
by: Zhang, Minxing, et al.
Published: (2024)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)

Differentially Private Datastore Generation for Retrieval-Augmented Inference
by: Abouelenein, Abdelrahman, et al.
Published: (2026)

Merge Hijacking: Backdoor Attacks to Model Merging of Large Language Models
by: Yuan, Zenghui, et al.
Published: (2025)

Model Hijacking Attack in Federated Learning
by: Li, Zheng, et al.
Published: (2024)