Imagen de Portada

Poisoning Decentralized Collaborative Recommender System and Its Countermeasures

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Zheng, Ruiqi, Qu, Liang, Chen, Tong, Zheng, Kai, Shi, Yuhui, Yin, Hongzhi
Formato:	Preprint
Publicado:	2024
Materias:	Cryptography and Security Information Retrieval
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
por: Nguyen, Thanh Toan, et al.
Publicado: (2024)

Poisoning Attacks and Defenses in Recommender Systems: A Survey
por: Wang, Zongwei, et al.
Publicado: (2024)

Decentralized Collaborative Learning with Adaptive Reference Data for On-Device POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

DecKG: Decentralized Collaborative Learning with Knowledge Graph Enhancement for POI Recommendation
por: Zheng, Ruiqi, et al.
Publicado: (2024)

Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
por: Wang, Zongwei, et al.
Publicado: (2023)

Watermarking Recommender Systems
por: Zhang, Sixiao, et al.
Publicado: (2024)

Poisoning Federated Recommender Systems with Fake Users
por: Yin, Ming, et al.
Publicado: (2024)

Retrieval-Augmented Review Generation for Poisoning Recommender Systems
por: Yang, Shiyi, et al.
Publicado: (2025)

Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
por: Rong, Dazhong, et al.
Publicado: (2022)

Green-Red Watermarking for Recommender Systems
por: Zhou, Lei, et al.
Publicado: (2026)

Practical Poisoning Attacks against Retrieval-Augmented Generation
por: Zhang, Baolei, et al.
Publicado: (2025)

Secure Federated Graph-Filtering for Recommender Systems
por: Nicolas, Julien, et al.
Publicado: (2025)

Traceback of Poisoning Attacks to Retrieval-Augmented Generation
por: Zhang, Baolei, et al.
Publicado: (2025)

Spattack: Subgroup Poisoning Attacks on Federated Recommender Systems
por: Yan, Bo, et al.
Publicado: (2025)

AgentPoison: Red-teaming LLM Agents via Poisoning Memory or Knowledge Bases
por: Chen, Zhaorun, et al.
Publicado: (2024)

Towards Personalized Privacy: User-Governed Data Contribution for Federated Recommendation
por: Qu, Liang, et al.
Publicado: (2024)

On-Device Recommender Systems: A Comprehensive Survey
por: Yin, Hongzhi, et al.
Publicado: (2024)

Who Taught the Lie? Responsibility Attribution for Poisoned Knowledge in Retrieval-Augmented Generation
por: Zhang, Baolei, et al.
Publicado: (2025)

Beyond Similarity: Personalized Federated Recommendation with Composite Aggregation
por: Zhang, Honglei, et al.
Publicado: (2024)

Membership Inference Attacks on Recommender System: A Survey
por: He, Jiajie, et al.
Publicado: (2025)

RecPS: Privacy Risk Scoring for Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025)

Detecting Cryptographically Relevant Software Packages with Collaborative LLMs
por: Hirsch, Eduard, et al.
Publicado: (2026)

BiRD: A Bidirectional Ranking Defense Mechanism for Retrieval Augmented Generation
por: Gao, Chengcai, et al.
Publicado: (2026)

DV-FSR: A Dual-View Target Attack Framework for Federated Sequential Recommendation
por: Qin, Qitao, et al.
Publicado: (2024)

Secure Retrieval-Augmented Generation against Poisoning Attacks
por: Cheng, Zirui, et al.
Publicado: (2025)

Benchmarking Poisoning Attacks against Retrieval-Augmented Generation
por: Zhang, Baolei, et al.
Publicado: (2025)

A Decentralized Retrieval Augmented Generation System with Source Reliabilities Secured on Blockchain
por: Lu, Yining, et al.
Publicado: (2025)

MAWSEO: Adversarial Wiki Search Poisoning for Illicit Online Promotion
por: Lin, Zilong, et al.
Publicado: (2023)

Tackling Data Heterogeneity in Federated Time Series Forecasting
por: Yuan, Wei, et al.
Publicado: (2024)

RAGRank: Using PageRank to Counter Poisoning in CTI LLM Pipelines
por: Jia, Austin, et al.
Publicado: (2025)

Diversity-aware Dual-promotion Poisoning Attack on Sequential Recommendation
por: Zhao, Yuchuan, et al.
Publicado: (2025)

Few-shot Model Extraction Attacks against Sequential Recommender Systems
por: Zhang, Hui, et al.
Publicado: (2024)

Can It Reach the Generator? Investigating the Survival of Prompt-Injection Attacks in Realistic RAG Settings
por: Yin, Yu, et al.
Publicado: (2026)

A Privacy Preserving System for Movie Recommendations Using Federated Learning
por: Neumann, David, et al.
Publicado: (2023)

PIR-RAG: A System for Private Information Retrieval in Retrieval-Augmented Generation
por: Wang, Baiqiang, et al.
Publicado: (2025)

DM4Steal: Diffusion Model For Link Stealing Attack On Graph Neural Networks
por: Chen, Jinyin, et al.
Publicado: (2024)

A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
por: Mi, Yunqi, et al.
Publicado: (2025)

Research on the Design of a Short Video Recommendation System Based on Multimodal Information and Differential Privacy
por: Yang, Haowei, et al.
Publicado: (2025)

Data and Decision Traceability for SDA TAP Lab's Prototype Battle Management System
por: Pratti, Latha, et al.
Publicado: (2025)

The RAG Paradox: A Black-Box Attack Exploiting Unintentional Vulnerabilities in Retrieval-Augmented Generation Systems
por: Choi, Chanwoo, et al.
Publicado: (2025)