ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
Fuente:
arXiv
Saved in:
| Main Authors: | Fayyazi, Reza, Trueba, Stella Hoyos, Zuzak, Michael, Yang, Shanchieh Jay |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
by: Fayyazi, Reza, et al.
Published: (2025)
by: Fayyazi, Reza, et al.
Published: (2025)
Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack Trees
by: Nakano, Katsuaki, et al.
Published: (2025)
by: Nakano, Katsuaki, et al.
Published: (2025)
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation
by: Fayyazi, Reza, et al.
Published: (2023)
by: Fayyazi, Reza, et al.
Published: (2023)
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
by: Bagwe, Gaurav, et al.
Published: (2025)
by: Bagwe, Gaurav, 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)
by: Choi, Chanwoo, et al.
Published: (2025)
PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
by: Wang, Baiqiang, et al.
Published: (2025)
by: Wang, Baiqiang, et al.
Published: (2025)
SafeRAG: Benchmarking Security in Retrieval-Augmented Generation of Large Language Model
by: Liang, Xun, et al.
Published: (2025)
by: Liang, Xun, et al.
Published: (2025)
HijackRAG: Hijacking Attacks against Retrieval-Augmented Large Language Models
by: Zhang, Yucheng, et al.
Published: (2024)
by: Zhang, Yucheng, et al.
Published: (2024)
Trans-RAG: Query-Centric Vector Transformation for Secure Cross-Organizational Retrieval
by: Liu, Yu, et al.
Published: (2026)
by: Liu, Yu, et al.
Published: (2026)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
by: Xue, Jiaqi, et al.
Published: (2024)
by: Xue, Jiaqi, et al.
Published: (2024)
Sift or Get Off the PoC: Applying Information Retrieval to Vulnerability Research with SiftRank
by: Gross, Caleb
Published: (2025)
by: Gross, Caleb
Published: (2025)
Topic-FlipRAG: Topic-Orientated Adversarial Opinion Manipulation Attacks to Retrieval-Augmented Generation Models
by: Gong, Yuyang, et al.
Published: (2025)
by: Gong, Yuyang, et al.
Published: (2025)
RemoteRAG: A Privacy-Preserving LLM Cloud RAG Service
by: Cheng, Yihang, et al.
Published: (2024)
by: Cheng, Yihang, et al.
Published: (2024)
BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
by: Gao, Chengcai, et al.
Published: (2026)
by: Gao, Chengcai, et al.
Published: (2026)
Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)
by: Yang, Shiyi, et al.
Published: (2025)
Impedance vs. Power Side-channel Vulnerabilities: A Comparative Study
by: Awal, Md Sadik, et al.
Published: (2024)
by: Awal, Md Sadik, et al.
Published: (2024)
Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings
by: Yin, Yu, et al.
Published: (2026)
by: Yin, Yu, et al.
Published: (2026)
SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions
by: Mishra, Saroj, et al.
Published: (2026)
by: Mishra, Saroj, et al.
Published: (2026)
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)
by: Cheng, Zirui, et al.
Published: (2025)
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)
by: Liu, Jiale, et al.
Published: (2025)
Differentially Private Datastore Generation for Retrieval-Augmented Inference
by: Abouelenein, Abdelrahman, et al.
Published: (2026)
by: Abouelenein, Abdelrahman, et al.
Published: (2026)
Adversarial Hubness in Multi-Modal Retrieval
by: Zhang, Tingwei, et al.
Published: (2024)
by: Zhang, Tingwei, et al.
Published: (2024)
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)
by: Liu, Mingrui, et al.
Published: (2024)
Retrieval Pivot Attacks in Hybrid RAG: Measuring and Mitigating Amplified Leakage from Vector Seeds to Graph Expansion
by: Thornton, Scott
Published: (2026)
by: Thornton, Scott
Published: (2026)
MoRSE: Bridging the Gap in Cybersecurity Expertise with Retrieval Augmented Generation
by: Simoni, Marco, et al.
Published: (2024)
by: Simoni, Marco, et al.
Published: (2024)
Detecting Cryptographically Relevant Software Packages with Collaborative LLMs
by: Hirsch, Eduard, et al.
Published: (2026)
by: Hirsch, Eduard, et al.
Published: (2026)
A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain
by: Lu, Yining, et al.
Published: (2025)
by: Lu, Yining, et al.
Published: (2025)
Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Words Blending Boxes. Obfuscating Queries in Information Retrieval using Differential Privacy
by: De Faveri, Francesco Luigi, et al.
Published: (2024)
by: De Faveri, Francesco Luigi, et al.
Published: (2024)
Versatile and Fast Location-Based Private Information Retrieval with Fully Homomorphic Encryption over the Torus
by: Yoo, Joon Soo, et al.
Published: (2025)
by: Yoo, Joon Soo, et al.
Published: (2025)
BasedAI: A decentralized P2P network for Zero Knowledge Large Language Models (ZK-LLMs)
by: Wellington, Sean
Published: (2024)
by: Wellington, Sean
Published: (2024)
RAVID: Retrieval-Augmented Visual Detection: A Knowledge-Driven Approach for AI-Generated Image Identification
by: Keita, Mamadou, et al.
Published: (2025)
by: Keita, Mamadou, et al.
Published: (2025)
Exposing Citation Vulnerabilities in Generative Engines
by: Mochizuki, Riku, et al.
Published: (2025)
by: Mochizuki, Riku, et al.
Published: (2025)
Securing RAG: A Risk Assessment and Mitigation Framework
by: Ammann, Lukas, et al.
Published: (2025)
by: Ammann, Lukas, et al.
Published: (2025)
Auditing Privacy in Multi-Tenant RAG under Account Collusion
by: Burnat, Florian A. D.
Published: (2026)
by: Burnat, Florian A. D.
Published: (2026)
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
by: Wang, Zongwei, et al.
Published: (2023)
by: Wang, Zongwei, et al.
Published: (2023)
A Wolf in Sheep's Clothing: Targeted Routing Hijacking in Federated RAG
by: Mu, Junjie, et al.
Published: (2026)
by: Mu, Junjie, et al.
Published: (2026)
Similar Items
-
LLM Embedding-based Attribution (LEA): Quantifying Source Contributions to Generative Model's Response for Vulnerability Analysis
by: Fayyazi, Reza, et al.
Published: (2025) -
Guided Reasoning in LLM-Driven Penetration Testing Using Structured Attack Trees
by: Nakano, Katsuaki, et al.
Published: (2025) -
Advancing TTP Analysis: Harnessing the Power of Large Language Models with Retrieval Augmented Generation
by: Fayyazi, Reza, et al.
Published: (2023) -
Your RAG is Unfair: Exposing Fairness Vulnerabilities in Retrieval-Augmented Generation via Backdoor Attacks
by: Bagwe, Gaurav, 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)