Multi-Resolution Diffusion for Privacy-Sensitive Recommender Systems
Fuente:
arXiv
Guardado en:
| Autores principales: | Lilienthal, Derek, Mello, Paul, Eirinaki, Magdalini, Tiomkin, Stas |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
por: Wanaskar, Kapil, et al.
Publicado: (2025)
por: Wanaskar, Kapil, et al.
Publicado: (2025)
Advancing Recommender Systems by mitigating Shilling attacks
por: Chichani, Aditya, et al.
Publicado: (2024)
por: Chichani, Aditya, et al.
Publicado: (2024)
RecPS: Privacy Risk Scoring for Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025)
por: He, Jiajie, et al.
Publicado: (2025)
A Privacy Preserving System for Movie Recommendations Using Federated Learning
por: Neumann, David, et al.
Publicado: (2023)
por: Neumann, David, et al.
Publicado: (2023)
Membership Inference Attacks on LLM-based Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025)
por: He, Jiajie, 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)
por: Yang, Haowei, et al.
Publicado: (2025)
RAID: An In-Training Defense against Attribute Inference Attacks in Recommender Systems
por: Feng, Xiaohua, et al.
Publicado: (2025)
por: Feng, Xiaohua, et al.
Publicado: (2025)
Connect the Dots: Knowledge Graph-Guided Crawler Attack on Retrieval-Augmented Generation Systems
por: Yao, Mengyu, et al.
Publicado: (2026)
por: Yao, Mengyu, et al.
Publicado: (2026)
Preserving Privacy and Utility in LLM-Based Product Recommendations
por: Khezresmaeilzadeh, Tina, et al.
Publicado: (2025)
por: Khezresmaeilzadeh, Tina, et al.
Publicado: (2025)
Watermarking Recommender Systems
por: Zhang, Sixiao, et al.
Publicado: (2024)
por: Zhang, Sixiao, et al.
Publicado: (2024)
Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
por: Hu, Wentao, et al.
Publicado: (2023)
por: Hu, Wentao, et al.
Publicado: (2023)
EmojiPrompt: Generative Prompt Obfuscation for Privacy-Preserving Communication with Cloud-based LLMs
por: Lin, Sam, et al.
Publicado: (2024)
por: Lin, Sam, et al.
Publicado: (2024)
LSTM Recurrent Neural Networks for Cybersecurity Named Entity Recognition
por: Gasmi, Houssem, et al.
Publicado: (2024)
por: Gasmi, Houssem, et al.
Publicado: (2024)
Know Your Neighborhood: General and Zero-Shot Capable Binary Function Search Powered by Call Graphlets
por: Collyer, Joshua, et al.
Publicado: (2024)
por: Collyer, Joshua, et al.
Publicado: (2024)
Membership Inference Attacks on Recommender System: A Survey
por: He, Jiajie, et al.
Publicado: (2025)
por: He, Jiajie, et al.
Publicado: (2025)
Poisoning Federated Recommender Systems with Fake Users
por: Yin, Ming, et al.
Publicado: (2024)
por: Yin, Ming, et al.
Publicado: (2024)
Auditing Privacy in Multi-Tenant RAG under Account Collusion
por: Burnat, Florian A. D.
Publicado: (2026)
por: Burnat, Florian A. D.
Publicado: (2026)
Unveiling Vulnerabilities of Contrastive Recommender Systems to Poisoning Attacks
por: Wang, Zongwei, et al.
Publicado: (2023)
por: Wang, Zongwei, et al.
Publicado: (2023)
A Scenario-Oriented Survey of Federated Recommender Systems: Techniques, Challenges, and Future Directions
por: Mi, Yunqi, et al.
Publicado: (2025)
por: Mi, Yunqi, et al.
Publicado: (2025)
Manipulating Recommender Systems: A Survey of Poisoning Attacks and Countermeasures
por: Nguyen, Thanh Toan, et al.
Publicado: (2024)
por: Nguyen, Thanh Toan, et al.
Publicado: (2024)
Few-shot Model Extraction Attacks against Sequential Recommender Systems
por: Zhang, Hui, et al.
Publicado: (2024)
por: Zhang, Hui, et al.
Publicado: (2024)
Exposing Privacy Risks in Graph Retrieval-Augmented Generation
por: Liu, Jiale, et al.
Publicado: (2025)
por: Liu, Jiale, et al.
Publicado: (2025)
CyberCane: Neuro-Symbolic RAG for Privacy-Preserving Phishing Detection with Formal Ontology Reasoning
por: Hakim, Safayat Bin, et al.
Publicado: (2026)
por: Hakim, Safayat Bin, et al.
Publicado: (2026)
Toward Autonomous SOC Operations: End-to-End LLM Framework for Threat Detection, Query Generation, and Resolution in Security Operations
por: Saju, Md Hasan, et al.
Publicado: (2026)
por: Saju, Md Hasan, et al.
Publicado: (2026)
Training Differentially Private Ad Prediction Models with Semi-Sensitive Features
por: Chua, Lynn, et al.
Publicado: (2024)
por: Chua, Lynn, et al.
Publicado: (2024)
Privacy-preserving recommender system using the data collaboration analysis for distributed datasets
por: Yanagi, Tomoya, et al.
Publicado: (2024)
por: Yanagi, Tomoya, et al.
Publicado: (2024)
AutoVerifier: An Agentic Automated Verification Framework Using Large Language Models
por: Du, Yuntao, et al.
Publicado: (2026)
por: Du, Yuntao, et al.
Publicado: (2026)
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
por: Rong, Dazhong, et al.
Publicado: (2022)
por: Rong, Dazhong, et al.
Publicado: (2022)
Towards Copyright Protection for Knowledge Bases of Retrieval-augmented Language Models via Reasoning
por: Guo, Junfeng, et al.
Publicado: (2025)
por: Guo, Junfeng, et al.
Publicado: (2025)
Grounded Cache Routing for Retrieval-Augmented Generation: When Is It Safe to Reuse an Answer?
por: Shah, Syed Huma
Publicado: (2026)
por: Shah, Syed Huma
Publicado: (2026)
User-Side Realization
por: Sato, Ryoma
Publicado: (2024)
por: Sato, Ryoma
Publicado: (2024)
Riddle Me This! Stealthy Membership Inference for Retrieval-Augmented Generation
por: Naseh, Ali, et al.
Publicado: (2025)
por: Naseh, Ali, et al.
Publicado: (2025)
TableGuard -- Securing Structured & Unstructured Data
por: Sharma, Anantha, et al.
Publicado: (2024)
por: Sharma, Anantha, et al.
Publicado: (2024)
ChineseHarm-Bench: A Chinese Harmful Content Detection Benchmark
por: Liu, Kangwei, et al.
Publicado: (2025)
por: Liu, Kangwei, et al.
Publicado: (2025)
Nautilus Compass: Black-box Persona Drift Detection for Production LLM Agents
por: Wang, Chunxiao
Publicado: (2026)
por: Wang, Chunxiao
Publicado: (2026)
BadRAG: Identifying Vulnerabilities in Retrieval Augmented Generation of Large Language Models
por: Xue, Jiaqi, et al.
Publicado: (2024)
por: Xue, Jiaqi, et al.
Publicado: (2024)
PII-Bench: Evaluating Query-Aware Privacy Protection Systems
por: Shen, Hao, et al.
Publicado: (2025)
por: Shen, Hao, et al.
Publicado: (2025)
LazyDP: Co-Designing Algorithm-Software for Scalable Training of Differentially Private Recommendation Models
por: Lim, Juntaek, et al.
Publicado: (2024)
por: Lim, Juntaek, et al.
Publicado: (2024)
Adversarial Text Rewriting for Text-aware Recommender Systems
por: Oh, Sejoon, et al.
Publicado: (2024)
por: Oh, Sejoon, et al.
Publicado: (2024)
Differentially Private Graph Diffusion with Applications in Personalized PageRanks
por: Wei, Rongzhe, et al.
Publicado: (2024)
por: Wei, Rongzhe, et al.
Publicado: (2024)
Ejemplares similares
-
Multimodal Benchmarking and Recommendation of Text-to-Image Generation Models
por: Wanaskar, Kapil, et al.
Publicado: (2025) -
Advancing Recommender Systems by mitigating Shilling attacks
por: Chichani, Aditya, et al.
Publicado: (2024) -
RecPS: Privacy Risk Scoring for Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025) -
A Privacy Preserving System for Movie Recommendations Using Federated Learning
por: Neumann, David, et al.
Publicado: (2023) -
Membership Inference Attacks on LLM-based Recommender Systems
por: He, Jiajie, et al.
Publicado: (2025)