Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
Fuente:
arXiv
Saved in:
| Main Authors: | Zhang, Baolei, Xin, Haoran, Chen, Yuxi, Liu, Zhuqing, Yi, Biao, Li, Tong, Nie, Lihai, Liu, Zheli, Fang, Minghong |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, 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)
Traceback of Poisoning Attacks to 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)
Adversarial Attacks to Multi-Modal Models
by: Dou, Zhihao, et al.
Published: (2024)
by: Dou, Zhihao, et al.
Published: (2024)
CTRAP: Embedding Collapse Trap to Safeguard Large Language Models from Harmful Fine-Tuning
by: Yi, Biao, et al.
Published: (2025)
by: Yi, Biao, et al.
Published: (2025)
Practical Framework for Privacy-Preserving and Byzantine-robust Federated Learning
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Poisoning Federated Recommender Systems with Fake Users
by: Yin, Ming, et al.
Published: (2024)
by: Yin, Ming, et al.
Published: (2024)
Retrieval-Augmented Review Generation for Poisoning Recommender Systems
by: Yang, Shiyi, et al.
Published: (2025)
by: Yang, Shiyi, et al.
Published: (2025)
Hiding in Plain Sight: A Steganographic Approach to Stealthy LLM Jailbreaks
by: Geng, Jianing, et al.
Published: (2025)
by: Geng, Jianing, et al.
Published: (2025)
Your Semantic-Independent Watermark is Fragile: A Semantic Perturbation Attack against EaaS Watermark
by: Fei, Zekun, et al.
Published: (2024)
by: Fei, Zekun, et al.
Published: (2024)
When the Server Steps In: Calibrated Updates for Fair Federated Learning
by: Yu, Tianrun, et al.
Published: (2026)
by: Yu, Tianrun, et al.
Published: (2026)
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
by: Zheng, Ruiqi, et al.
Published: (2024)
by: Zheng, Ruiqi, et al.
Published: (2024)
BadActs: A Universal Backdoor Defense in the Activation Space
by: Yi, Biao, et al.
Published: (2024)
by: Yi, Biao, et al.
Published: (2024)
AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
by: Chen, Zhaorun, et al.
Published: (2024)
by: Chen, Zhaorun, et al.
Published: (2024)
Poisoning Attacks and Defenses to Federated Unlearning
by: Wang, Wenbin, et al.
Published: (2025)
by: Wang, Wenbin, et al.
Published: (2025)
Knowledge Poisoning Attacks on Medical Multi-Modal Retrieval-Augmented Generation
by: Yang, Peiru, et al.
Published: (2026)
by: Yang, Peiru, et al.
Published: (2026)
Exposing Privacy Risks in Graph Retrieval-Augmented Generation
by: Liu, Jiale, et al.
Published: (2025)
by: Liu, Jiale, et al.
Published: (2025)
Byzantine-Robust Federated Learning over Ring-All-Reduce Distributed Computing
by: Fang, Minghong, et al.
Published: (2025)
by: Fang, Minghong, et al.
Published: (2025)
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation
by: Liu, Mingrui, et al.
Published: (2024)
by: Liu, Mingrui, et al.
Published: (2024)
Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)
by: Wang, Zongwei, et al.
Published: (2024)
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)
by: Fayyazi, Reza, 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)
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)
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)
MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
by: Lin, Zilong, et al.
Published: (2023)
by: Lin, Zilong, et al.
Published: (2023)
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)
RAGRank: Using PageRank to Counter Poisoning in CTI LLM Pipelines
by: Jia, Austin, et al.
Published: (2025)
by: Jia, Austin, et al.
Published: (2025)
Poisoned-MRAG: Knowledge Poisoning Attacks to Multimodal Retrieval Augmented Generation
by: Liu, Yinuo, et al.
Published: (2025)
by: Liu, Yinuo, 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)
KnowML: Improving Generalization of ML-NIDS with Attack Knowledge Graphs
by: Guo, Xin Fan, et al.
Published: (2025)
by: Guo, Xin Fan, 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)
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency
by: Xie, Yueqi, et al.
Published: (2024)
by: Xie, Yueqi, et al.
Published: (2024)
One Pic is All it Takes: Poisoning Visual Document Retrieval Augmented Generation with a Single Image
by: Shereen, Ezzeldin, et al.
Published: (2025)
by: Shereen, Ezzeldin, et al.
Published: (2025)
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)
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
by: Yao, Mengyu, et al.
Published: (2026)
by: Yao, Mengyu, et al.
Published: (2026)
Pandora: Jailbreak GPTs by Retrieval Augmented Generation Poisoning
by: Deng, Gelei, et al.
Published: (2024)
by: Deng, Gelei, et al.
Published: (2024)
Adversarial Hubness in Multi-Modal Retrieval
by: Zhang, Tingwei, et al.
Published: (2024)
by: Zhang, Tingwei, et al.
Published: (2024)
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
by: Wang, Zongwei, et al.
Published: (2023)
by: Wang, Zongwei, et al.
Published: (2023)
Similar Items
-
Practical Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025) -
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025) -
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025) -
Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025) -
Adversarial Attacks to Multi-Modal Models
by: Dou, Zhihao, et al.
Published: (2024)