Retrieval-Augmented Review Generation for Poisoning Recommender Systems
Fuente:
arXiv
Saved in:
| Main Authors: | Yang, Shiyi, Li, Xinshu, Zhou, Guanglin, Wang, Chen, Xu, Xiwei, Zhu, Liming, Yao, Lina |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
by: Yang, Shiyi, et al.
Published: (2025)
by: Yang, Shiyi, 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)
Traceback of Poisoning Attacks to Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
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)
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
by: Zheng, Ruiqi, et al.
Published: (2024)
by: Zheng, Ruiqi, et al.
Published: (2024)
Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
by: Zhang, Baolei, et al.
Published: (2025)
by: Zhang, Baolei, et al.
Published: (2025)
Poisoning Attacks and Defenses in Recommender Systems: A Survey
by: Wang, Zongwei, et al.
Published: (2024)
by: Wang, Zongwei, et al.
Published: (2024)
Secure Retrieval-Augmented Generation against Poisoning Attacks
by: Cheng, Zirui, et al.
Published: (2025)
by: Cheng, Zirui, et al.
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)
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)
Review-Incorporated Model-Agnostic Profile Injection Attacks on Recommender Systems
by: Yang, Shiyi, et al.
Published: (2024)
by: Yang, Shiyi, et al.
Published: (2024)
Poisoning Federated Recommender Systems with Fake Users
by: Yin, Ming, et al.
Published: (2024)
by: Yin, Ming, 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)
Synthetic Query Generation for Privacy-Preserving Deep Retrieval Systems using Differentially Private Language Models
by: Carranza, Aldo Gael, et al.
Published: (2023)
by: Carranza, Aldo Gael, et al.
Published: (2023)
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
by: Wang, Zongwei, et al.
Published: (2023)
by: Wang, Zongwei, et al.
Published: (2023)
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
by: Nguyen, Thanh Toan, et al.
Published: (2024)
by: Nguyen, Thanh Toan, 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)
by: Choi, Chanwoo, et al.
Published: (2025)
Green-Red Watermarking for Recommender Systems
by: Zhou, Lei, et al.
Published: (2026)
by: Zhou, Lei, et al.
Published: (2026)
DiscourseFlip: An Oblique Discourse-Level Opinion Manipulation Attack against Black-box Retrieval-Augmented Generation
by: Gong, Yuyang, et al.
Published: (2026)
by: Gong, Yuyang, et al.
Published: (2026)
Improving User Privacy in Personalized Generation: Client-Side Retrieval-Augmented Modification of Server-Side Generated Speculations
by: Salemi, Alireza, et al.
Published: (2026)
by: Salemi, Alireza, et al.
Published: (2026)
BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
by: Gao, Chengcai, et al.
Published: (2026)
by: Gao, Chengcai, 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)
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)
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
by: Rong, Dazhong, et al.
Published: (2022)
by: Rong, Dazhong, et al.
Published: (2022)
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)
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)
ProveRAG: Provenance-Driven Vulnerability Analysis with Automated Retrieval-Augmented LLMs
by: Fayyazi, Reza, et al.
Published: (2024)
by: Fayyazi, Reza, et al.
Published: (2024)
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)
Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
by: Zhang, Honglei, et al.
Published: (2024)
by: Zhang, Honglei, et al.
Published: (2024)
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
by: Naseh, Ali, et al.
Published: (2025)
by: Naseh, Ali, et al.
Published: (2025)
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)
Secure Federated Graph-Filtering for Recommender Systems
by: Nicolas, Julien, et al.
Published: (2025)
by: Nicolas, Julien, 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)
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)
Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
by: Shah, Syed Huma
Published: (2026)
by: Shah, Syed Huma
Published: (2026)
Exposing Citation Vulnerabilities in Generative Engines
by: Mochizuki, Riku, et al.
Published: (2025)
by: Mochizuki, Riku, 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)
Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
by: Yan, Bo, et al.
Published: (2025)
by: Yan, Bo, et al.
Published: (2025)
Token-wise Influential Training Data Retrieval for Large Language Models
by: Lin, Huawei, et al.
Published: (2024)
by: Lin, Huawei, et al.
Published: (2024)
Similar Items
-
DrunkAgent: Stealthy Memory Corruption in LLM-Powered Recommender Agents
by: Yang, Shiyi, et al.
Published: (2025) -
Practical 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) -
A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain
by: Lu, Yining, et al.
Published: (2025) -
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
by: Zheng, Ruiqi, et al.
Published: (2024)