mlsanityData to 7 Oct 2026

Safeguarding Multimodal Knowledge Copyright in the RAG-as-a-Service Environment

arXiv 2506.10030 ↗First posted 10 Jun 2025cs.CR cs.AIcited by 1

On the map: Retrieval-augmented generation → Privacy and security of RAG

also in 1 more
Abstract (arXiv)

As Retrieval-Augmented Generation (RAG) evolves into service-oriented platforms (Rag-as-a-Service) with shared knowledge bases, protecting the copyright of contributed data becomes essential. Existing watermarking methods in RAG focus solely on textual knowledge, leaving image knowledge unprotected. In this work, we propose AQUA, the first watermark framework for image knowledge protection in Multimodal RAG systems. AQUA embeds semantic signals into synthetic images using two complementary methods: acronym-based triggers and spatial relationship cues. These techniques ensure watermark signals survive indirect watermark propagation from image retriever to textual generator, being efficient, effective and imperceptible. Experiments across diverse models and datasets show that AQUA enables robust, stealthy, and reliable copyright tracing, filling a key gap in multimodal RAG protection.

Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). Placed in Privacy and security of RAG, one of 15 directions in Retrieval-augmented generation. Builds on 54 of its 77 references that are in the map. First posted on arXiv 10 Jun 2025.

Builds on

54 of 77 references.

Closest ancestors · 6

Same direction, newest first

  1. 2025ControlNET: A Firewall for RAG-based LLM System13 Apr
  2. 2025MM-PoisonRAG: Disrupting Multimodal RAG with Local and Global Poisoning Attacks25 Feb
  3. 2025Dataset Protection via Watermarked Canaries in Retrieval-Augmented LLMs15 Feb
  4. 2025RAG-WM: An Efficient Black-Box Watermarking Approach for Retrieval-Augmented Generation of Large Language Models9 Jan
  5. 2024Class-RAG: Real-Time Content Moderation with Retrieval Augmented Generation18 Oct
  6. 2024TrojanRAG: Retrieval-Augmented Generation Can Be Backdoor Driver in Large Language Models22 May

Other references · 48

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36 more
  1. 2020REALM: Retrieval-Augmented Language Model Pre-Trainingcited by 2,126
  2. 2023Self-RAG: Learning to Retrieve, Generate, and Critique through Self-Reflectioncited by 1,800
  3. 2018Hierarchical Neural Story Generationcited by 1,182
  4. 2023A Watermark for Large Language Modelscited by 667
  5. 2018Spectral Signatures in Backdoor Attackscited by 457
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  7. 2024AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Basescited by 402
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  9. 2022MuRAG: Multimodal Retrieval-Augmented Generator for Open Question Answering over Images and Textcited by 216
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  16. 2024Retrieval-Augmented Generation with Knowledge Graphs for Customer Service Question Answeringcited by 95
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  18. 2024WAVES: Benchmarking the Robustness of Image Watermarkscited by 89
  19. 2020Distortion Agnostic Deep Watermarkingcited by 88
  20. 2024MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Modelscited by 84
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  25. 2024HtmlRAG: HTML is Better Than Plain Text for Modeling Retrieved Knowledge in RAG Systemscited by 37
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  27. 2024Beyond Text: Optimizing RAG with Multimodal Inputs for Industrial Applicationscited by 31
  28. 2023PromptCARE: Prompt Copyright Protection by Watermark Injection and Verificationcited by 30
  29. 2023Visual Instruction Tuning towards General-Purpose Multimodal Model: A Surveycited by 28
  30. 2021Watermarking Graph Neural Networks based on Backdoor Attackscited by 25
  31. 2024Fact-Aware Multimodal Retrieval Augmentation for Accurate Medical Radiology Report Generationcited by 23
  32. 2024Black-Box Detection of Language Model Watermarkscited by 22
  33. 2025ImageRAG: Dynamic Image Retrieval for Reference-Guided Image Generationcited by 20
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  35. 2024Ward: Provable RAG Dataset Inference via LLM Watermarkscited by 15
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Cited by year (2026 to 7 Oct)

Citing papers per year: 2026: 1.

1 paper.

Similar, not cited

Close in wording, no citation either way

  1. 2026SentinelRAG: Synthetic Sentinel Knowledge for RAG Database Copyright Protection
  2. 2025Who Stole Your Data? A Method for Detecting Unauthorized RAG Theft
  3. 2025Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
  4. 2025Removing Watermarks with Partial Regeneration using Semantic Information
  5. 2023WatME: Towards Lossless Watermarking Through Lexical Redundancy
  6. 2025VLA-Mark: A cross modal watermark for large vision-language alignment model
  7. 2024SleeperMark: Towards Robust Watermark against Fine-Tuning Text-to-image Diffusion Models
  8. 2024CPR: Retrieval Augmented Generation for Copyright Protection