Cover Image

"Glue pizza and eat rocks" -- Exploiting Vulnerabilities in Retrieval-Augmented Generative Models

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tan, Zhen, Zhao, Chengshuai, Moraffah, Raha, Li, Yifan, Wang, Song, Li, Jundong, Chen, Tianlong, Liu, Huan
Format:	Preprint
Published:	2024
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

The Wolf Within: Covert Injection of Malice into MLLM Societies via an MLLM Operative
by: Tan, Zhen, et al.
Published: (2024)

Exploiting Class Probabilities for Black-box Sentence-level Attacks
by: Moraffah, Raha, et al.
Published: (2024)

A Generative Approach to Surrogate-based Black-box Attacks
by: Moraffah, Raha, et al.
Published: (2024)

When Safe Models Merge into Danger: Exploiting Latent Vulnerabilities in LLM Fusion
by: Li, Jiaqing, et al.
Published: (2026)

Adversarial Text Purification: A Large Language Model Approach for Defense
by: Moraffah, Raha, et al.
Published: (2024)

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

VIPER-MCP: Detecting and Exploiting Taint-Style Vulnerabilities in Model Context Protocol Servers
by: Sun, Pengyu, et al.
Published: (2026)

To See is Not to Learn: Protecting Multimodal Data from Unauthorized Fine-Tuning of Large Vision-Language Model
by: Zhao, Chengshuai, et al.
Published: (2026)

Exploring the Security Threats of Retriever Backdoors in Retrieval-Augmented Code Generation
by: Li, Tian, et al.
Published: (2025)

PRAG: End-to-End Privacy-Preserving Retrieval-Augmented Generation
by: Li, Zhijun, et al.
Published: (2026)

Retrieval Augmented Generation Integrated Large Language Models in Smart Contract Vulnerability Detection
by: Yu, Jeffy
Published: (2024)

CPA-RAG:Covert Poisoning Attacks on Retrieval-Augmented Generation in Large Language Models
by: Li, Chunyang, 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)

Exploiting Cross-Layer Vulnerabilities: Off-Path Attacks on the TCP/IP Protocol Suite
by: Feng, Xuewei, et al.
Published: (2024)

Beyond Text: Unveiling Privacy Vulnerabilities in Multi-modal Retrieval-Augmented Generation
by: Zhang, Jiankun, et al.
Published: (2025)

Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
by: Deng, Gelei, et al.
Published: (2024)

Benchmarking Knowledge-Extraction Attack and Defense on Retrieval-Augmented Generation
by: Qi, Zhisheng, et al.
Published: (2026)

Vulnerability-Aware Robust Multimodal Adversarial Training
by: Zhang, Junrui, et al.
Published: (2025)

CODE: A Contradiction-Based Deliberation Extension Framework for Overthinking Attacks on Retrieval-Augmented Generation
by: Zhang, Xiaolei, et al.
Published: (2026)

External Data Extraction Attacks against Retrieval-Augmented Large Language Models
by: He, Yu, et al.
Published: (2025)

ParaVul: A Parallel Large Language Model and Retrieval-Augmented Framework for Smart Contract Vulnerability Detection
by: Huang, Tenghui, et al.
Published: (2025)

Towards Understanding and Characterizing Vulnerabilities in Intelligent Connected Vehicles through Real-World Exploits
by: Wang, Yuelin, et al.
Published: (2026)

Breaking Precision Time: OS Vulnerability Exploits Against IEEE 1588
by: Soomro, Muhammad Abdullah, et al.
Published: (2025)

Generating Is Believing: Membership Inference Attacks against Retrieval-Augmented Generation
by: Li, Yuying, et al.
Published: (2024)

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

PoCGen: Generating Proof-of-Concept Exploits for Vulnerabilities in Npm Packages
by: Simsek, Deniz, et al.
Published: (2025)

ExploitWP2Docker: a Platform for Automating the Generation of Vulnerable WordPress Environments for Cyber Ranges
by: Caturano, Francesco, et al.
Published: (2022)

Disabling Self-Correction in Retrieval-Augmented Generation via Stealthy Retriever Poisoning
by: Dai, Yanbo, et al.
Published: (2025)

When RSA Fails: Exploiting Prime Selection Vulnerabilities in Public Key Cryptography
by: Nikzad, Murtaza, et al.
Published: (2025)

Enhancing Code Vulnerability Detection via Vulnerability-Preserving Data Augmentation
by: Liu, Shangqing, et al.
Published: (2024)

MIRAGE: Misleading Retrieval-Augmented Generation via Black-box and Query-agnostic Poisoning Attacks
by: Chen, Tailun, et al.
Published: (2025)

Beyond Personalization: Federated Recommendation with Calibration via Low-rank Decomposition
by: Chen, Jundong, et al.
Published: (2025)

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
by: Li, Jiliang, et al.
Published: (2024)

HALURust: Exploiting Hallucinations of Large Language Models to Detect Vulnerabilities in Rust
by: Luo, Yu, et al.
Published: (2025)

SEAL-Tag: Self-Tag Evidence Aggregation with Probabilistic Circuits for PII-Safe Retrieval-Augmented Generation
by: Xie, Jin, et al.
Published: (2026)

Path-wise Vulnerability Mitigation
by: Huang, Zhen, et al.
Published: (2024)

FidelityGPT: Correcting Decompilation Distortions with Retrieval Augmented Generation
by: Zhou, Zhiping, et al.
Published: (2025)

VulLibGen: Generating Names of Vulnerability-Affected Packages via a Large Language Model
by: Chen, Tianyu, et al.
Published: (2023)

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis
by: Ng, Jayson, et al.
Published: (2026)

Enhancing Android Malware Detection with Retrieval-Augmented Generation
by: S., Saraga, et al.
Published: (2025)