Cover Image

Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Liu, Peiyang, Cui, Ziqiang, Liang, Di, Ye, Wei
Format:	Preprint
Published:	2025
Subjects:	Information Retrieval Computation and Language
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Beyond Semantic Relevance: Counterfactual Risk Minimization for Robust Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)

Chain of Evidence: Pixel-Level Visual Attribution for Iterative Retrieval-Augmented Generation
by: Liu, Peiyang, et al.
Published: (2026)

Bootstrap Your Own Context Length
by: Wang, Liang, et al.
Published: (2024)

A Hybrid RAG System with Comprehensive Enhancement on Complex Reasoning
by: Yuan, Ye, et al.
Published: (2024)

FunnelRAG: A Coarse-to-Fine Progressive Retrieval Paradigm for RAG
by: Zhao, Xinping, et al.
Published: (2024)

FIT-RAG: Black-Box RAG with Factual Information and Token Reduction
by: Mao, Yuren, et al.
Published: (2024)

Research on the Online Update Method for Retrieval-Augmented Generation (RAG) Model with Incremental Learning
by: Fan, Yuxin, et al.
Published: (2025)

SRAG: RAG with Structured Data Improves Vector Retrieval
by: Shah, Shalin, et al.
Published: (2026)

Generating Diverse Q&A Benchmarks for RAG Evaluation with DataMorgana
by: Filice, Simone, et al.
Published: (2025)

RAG-based Question Answering over Heterogeneous Data and Text
by: Christmann, Philipp, et al.
Published: (2024)

LiveRAG: A diverse Q&A dataset with varying difficulty level for RAG evaluation
by: Carmel, David, et al.
Published: (2025)

Knowing When Not to Answer: Lightweight KB-Aligned OOD Detection for Safe RAG
by: Triantafyllopoulos, Ilias, et al.
Published: (2025)

ER-RAG: Enhance RAG with ER-Based Unified Modeling of Heterogeneous Data Sources
by: Xia, Yikuan, et al.
Published: (2025)

Causal-Counterfactual RAG: The Integration of Causal-Counterfactual Reasoning into RAG
by: Khadilkar, Harshad, et al.
Published: (2025)

WeKnow-RAG: An Adaptive Approach for Retrieval-Augmented Generation Integrating Web Search and Knowledge Graphs
by: Xie, Weijian, et al.
Published: (2024)

MedCoT-RAG: Causal Chain-of-Thought RAG for Medical Question Answering
by: Wang, Ziyu, et al.
Published: (2025)

OpenRAG: Optimizing RAG End-to-End via In-Context Retrieval Learning
by: Zhou, Jiawei, et al.
Published: (2025)

HetaRAG: Hybrid Deep Retrieval-Augmented Generation across Heterogeneous Data Stores
by: Yan, Guohang, et al.
Published: (2025)

Evidence Contextualization and Counterfactual Attribution for Conversational QA over Heterogeneous Data with RAG Systems
by: Roy, Rishiraj Saha, et al.
Published: (2024)

MultiRAG: A Knowledge-guided Framework for Mitigating Hallucination in Multi-source Retrieval Augmented Generation
by: Wu, Wenlong, et al.
Published: (2025)

StepChain GraphRAG: Reasoning Over Knowledge Graphs for Multi-Hop Question Answering
by: Ni, Tengjun, et al.
Published: (2025)

HaS: Accelerating RAG through Homology-Aware Speculative Retrieval
by: Peng, Peng, et al.
Published: (2026)

RAGEval: Scenario Specific RAG Evaluation Dataset Generation Framework
by: Zhu, Kunlun, et al.
Published: (2024)

Trust or Abstain? A Self-Aware RAG Approach
by: Zhu, Xi, et al.
Published: (2026)

MEG-RAG: Quantifying Multi-modal Evidence Grounding for Evidence Selection in RAG
by: Wang, Xihang, et al.
Published: (2026)

Adaptive Chunking: Optimizing Chunking-Method Selection for RAG
by: Júnior, Paulo Roberto de Moura, et al.
Published: (2026)

DomainRAG: A Chinese Benchmark for Evaluating Domain-specific Retrieval-Augmented Generation
by: Wang, Shuting, et al.
Published: (2024)

HawkBench: Investigating Resilience of RAG Methods on Stratified Information-Seeking Tasks
by: Qian, Hongjin, et al.
Published: (2025)

H-RAG at SemEval-2026 Task 8: Hierarchical Parent-Child Retrieval for Multi-Turn RAG Conversations
by: Elchafei, Passant, et al.
Published: (2026)

CARROT: A Learned Cost-Constrained Retrieval Optimization System for RAG
by: Wang, Ziting, et al.
Published: (2024)

In-depth Analysis of Graph-based RAG in a Unified Framework
by: Zhou, Yingli, et al.
Published: (2025)

The Distracting Effect: Understanding Irrelevant Passages in RAG
by: Amiraz, Chen, et al.
Published: (2025)

Optimizing Retrieval for RAG via Reinforcement Learning
by: Zhou, Jiawei, et al.
Published: (2025)

Context Embeddings for Efficient Answer Generation in RAG
by: Rau, David, et al.
Published: (2024)

The Power of Noise: Redefining Retrieval for RAG Systems
by: Cuconasu, Florin, et al.
Published: (2024)

Core-based Hierarchies for Efficient GraphRAG
by: Hossain, Jakir, et al.
Published: (2026)

Loops On Retrieval Augmented Generation (LoRAG)
by: Thakur, Ayush, et al.
Published: (2024)

LexRAG: Benchmarking Retrieval-Augmented Generation in Multi-Turn Legal Consultation Conversation
by: Li, Haitao, et al.
Published: (2025)

M-RAG: Reinforcing Large Language Model Performance through Retrieval-Augmented Generation with Multiple Partitions
by: Wang, Zheng, et al.
Published: (2024)

HopRAG: Multi-Hop Reasoning for Logic-Aware Retrieval-Augmented Generation
by: Liu, Hao, et al.
Published: (2025)