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Manipulating Visually Aware Federated Recommender Systems and Its Countermeasures

https://doi.org/10.1145/3630005
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1007/978-3-319-57959-7openalex-snapshot
The EU General Data Protection Regulation (GDPR)
inferredcites →https://doi.org/10.1007/s00778-021-00700-6openalex-snapshot
Fast-adapting and privacy-preserving federated recommender system
inferredcites →https://doi.org/10.1007/s10586-022-03644-wopenalex-snapshot
Federated recommenders: methods, challenges and future
inferredcites →https://doi.org/10.1109/icdm.2002.1183878openalex-snapshot
Proceedings 2002 IEEE International Conference on Data Mining. ICDM 2002
inferredcites →https://doi.org/10.1109/icsssm.2007.4280214openalex-snapshot
A Survey of E-Commerce Recommender Systems
inferredcites →https://doi.org/10.1109/ijcnn.2005.1556189openalex-snapshot
Proceedings of the International Joint Conference on Neural Networks (IJCNN) 2005
inferredcites →https://doi.org/10.1109/mis.2020.3014880openalex-snapshot
Secure Federated Matrix Factorization
inferredcites →https://doi.org/10.1109/mis.2020.3017205openalex-snapshot
FedRec: Federated Recommendation With Explicit Feedback
inferredcites →https://doi.org/10.1109/msp.2020.2975749openalex-snapshot
Federated Learning: Challenges, Methods, and Future Directions
inferredcites →https://doi.org/10.1109/tip.2012.2214050openalex-snapshot
No-Reference Image Quality Assessment in the Spatial Domain
inferredcites →https://doi.org/10.1109/tkde.2017.2750683openalex-snapshot
Computing Crowd Consensus with Partial Agreement
inferredcites →https://doi.org/10.1109/tkde.2019.2893638openalex-snapshot
Adversarial Training Towards Robust Multimedia Recommender System
inferredcites →https://doi.org/10.1109/tkde.2022.3185101openalex-snapshot
Reinforcement Learning-enhanced Shared-account Cross-domain Sequential Recommendation
inferredcites →https://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferredcites →https://doi.org/10.1109/tkde.2023.3295601openalex-snapshot
Comprehensive Privacy Analysis on Federated Recommender System Against Attribute Inference Attacks
inferredcites →https://doi.org/10.1109/tnn.2008.2005605openalex-snapshot
The Graph Neural Network Model
inferredcites →https://doi.org/10.1109/tnnls.2024.3354924openalex-snapshot
A Survey on Federated Recommendation Systems
inferredcites →https://doi.org/10.1109/tpami.2017.2699960openalex-snapshot
A Survey on Learning to Hash
inferredcites →https://doi.org/10.1145/2461466.2461485openalex-snapshot
Getting the look
inferredcites →https://doi.org/10.1145/2623330.2623332openalex-snapshot
Large scale visual recommendations from street fashion images
inferredcites →https://doi.org/10.1145/2733373.2806339openalex-snapshot
Joint Modeling of Users' Interests and Mobility Patterns for Point-of-Interest Recommendation
inferredcites →https://doi.org/10.1145/2766462.2767755openalex-snapshot
Image-Based Recommendations on Styles and Substitutes
inferredcites →https://doi.org/10.1145/2827872openalex-snapshot
The MovieLens Datasets
inferredcites →https://doi.org/10.1145/2911451openalex-snapshot
Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3285029openalex-snapshot
Deep Learning Based Recommender System
inferredcites →https://doi.org/10.1145/3394486.3403176openalex-snapshot
FedFast: Going Beyond Average for Faster Training of Federated Recommender Systems
inferredcites →https://doi.org/10.1145/3397271.3401042openalex-snapshot
Try This Instead
inferredcites →https://doi.org/10.1145/3397271.3401063openalex-snapshot
LightGCN
inferredcites →https://doi.org/10.1145/3422622openalex-snapshot
Generative adversarial networks
inferredcites →https://doi.org/10.1145/3437963.3441757openalex-snapshot
A Black-Box Attack Model for Visually-Aware Recommender Systems
inferredcites →https://doi.org/10.1145/3442381.3449891openalex-snapshot
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
inferredcites →https://doi.org/10.1145/3448099openalex-snapshot
PREFER
inferredcites →https://doi.org/10.1145/3488560.3498386openalex-snapshot
PipAttack: Poisoning Federated Recommender Systems for Manipulating Item Promotion
inferredcites →https://doi.org/10.1145/3488560.3498433openalex-snapshot
Contrastive Learning for Representation Degeneration Problem in Sequential Recommendation
inferredcites →https://doi.org/10.1145/3501815openalex-snapshot
Federated Social Recommendation with Graph Neural Network
inferredcites →https://doi.org/10.1145/3534678.3539119openalex-snapshot
FedAttack: Effective and Covert Poisoning Attack on Federated Recommendation via Hard Sampling
inferredcites →https://doi.org/10.1145/3539618.3591722openalex-snapshot
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures
inferredcites →https://doi.org/10.1145/3560486openalex-snapshot
ReFRS: Resource-efficient Federated Recommender System for Dynamic and Diversified User Preferences
inferredcites →https://doi.org/10.1145/3578361openalex-snapshot
LightFR: Lightweight Federated Recommendation with Privacy-preserving Matrix Factorization
inferredcites →https://doi.org/10.1145/3579355openalex-snapshot
AutoML for Deep Recommender Systems: A Survey
inferredcites →https://doi.org/10.1145/3616855openalex-snapshot
Proceedings of the 17th ACM International Conference on Web Search and Data Mining
inferredcites →https://doi.org/10.1609/aaai.v30i1.9973openalex-snapshot
VBPR: Visual Bayesian Personalized Ranking from Implicit Feedback
inferredcites →https://doi.org/10.1609/aaai.v35i5.16546openalex-snapshot
FedRec++: Lossless Federated Recommendation with Explicit Feedback
inferredcites →https://doi.org/10.1631/fitee.1700813openalex-snapshot
Artificial intelligence and statistics
inferredcites →https://doi.org/10.18653/v1/2021.findings-emnlpopenalex-snapshot
Findings of the Association for Computational Linguistics: EMNLP 2021
inferredcites →https://doi.org/10.24963/ijcai.2022/306openalex-snapshot
Poisoning Deep Learning Based Recommender Model in Federated Learning Scenarios
inferredcites →https://doi.org/10.4230/lipics.wads.2025.45openalex-snapshot
Fast Kd-Trees for the Kullback-Leibler Divergence and Other Decomposable Bregman Divergences
inferredcites →https://doi.org/10.48550/arxiv.1206.3959openalex-snapshot
Proceedings of the Twenty-Fifth Conference on Uncertainty in Artificial Intelligence (2009)
inferredcites →https://doi.org/10.48550/arxiv.1409.1556openalex-snapshot
Very Deep Convolutional Networks for Large-Scale Image Recognition
inferredcites →https://doi.org/10.48550/arxiv.1412.6980openalex-snapshot
Adam: A Method for Stochastic Optimization
inferredcites →https://doi.org/10.48550/arxiv.1802.07876openalex-snapshot
Federated Meta-Learning with Fast Convergence and Efficient Communication
inferredcites →https://doi.org/10.48550/arxiv.1901.09888openalex-snapshot
Federated Collaborative Filtering for Privacy-Preserving Personalized Recommendation System
inferredcites →https://doi.org/10.48550/arxiv.1912.01703openalex-snapshot
PyTorch: An Imperative Style, High-Performance Deep Learning Library
inferredcites →https://doi.org/10.48550/arxiv.2006.11239openalex-snapshot
Denoising Diffusion Probabilistic Models
inferredcites →https://doi.org/10.48550/arxiv.2101.09258openalex-snapshot
Maximum Likelihood Training of Score-Based Diffusion Models
inferredcites →https://doi.org/10.48550/arxiv.2102.04925openalex-snapshot
FedGNN: Federated Graph Neural Network for Privacy-Preserving Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2105.05233openalex-snapshot
Diffusion Models Beat GANs on Image Synthesis
inferredcites →https://doi.org/10.48550/arxiv.2204.09850openalex-snapshot
FedCL: Federated Contrastive Learning for Privacy-Preserving Recommendation
inferredcites →https://doi.org/10.48550/arxiv.2205.14217openalex-snapshot
Diffusion-LM Improves Controllable Text Generation
inferredcites →https://doi.org/10.48550/arxiv.2205.14969openalex-snapshot
Guided Diffusion Model for Adversarial Purification
inferredcites →https://doi.org/10.52202/068431-1714openalex-snapshot
Denoising Diffusion Restoration Models
inferredcites →https://doi.org/10.69554/tcfn5165openalex-snapshot
Understanding the scope and impact of the California Consumer Privacy Act of 2018

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-981-95-4155-3_36openalex-snapshot
PriExRec: Defending Against Membership Inference Attacks in Federated Recommendation with Explicit Feedback
inferred← citeshttps://doi.org/10.1007/978-981-96-0850-8_5openalex-snapshot
PDC-FRS: Privacy-Preserving Data Contribution for Federated Recommender System
inferred← citeshttps://doi.org/10.1007/s10207-025-01053-9openalex-snapshot
Ensemble learning-based adaptive and adversarial techniques for APT attack detection
inferred← citeshttps://doi.org/10.1007/s10462-026-11579-6openalex-snapshot
Navigating threats in federated recommender systems: a survey of attack models and defense strategies
inferred← citeshttps://doi.org/10.1007/s10791-026-10547-6openalex-snapshot
Friend-Safe Adversarial Attack for selective evasion in personalized federated learning
inferred← citeshttps://doi.org/10.1007/s10791-026-10687-9openalex-snapshot
Personalized dialogue generation based on social game data collection and two-stage response generation model
inferred← citeshttps://doi.org/10.1007/s10844-025-00930-yopenalex-snapshot
Self-training dual-network for denoising federated recommendation
inferred← citeshttps://doi.org/10.1007/s11063-025-11812-3openalex-snapshot
Secure and Private Recommendation based on Federated Graph Neural Network
inferred← citeshttps://doi.org/10.1007/s11432-024-4272-yopenalex-snapshot
Robust federated contrastive recommender system against targeted model poisoning attack
inferred← citeshttps://doi.org/10.1007/s11432-024-4310-7openalex-snapshot
A survey on cross-user federated recommendation
inferred← citeshttps://doi.org/10.1007/s41019-025-00288-9openalex-snapshot
An Exploratory Study on Information Cocoon in Recommender Systems
inferred← citeshttps://doi.org/10.1007/s41019-025-00308-8openalex-snapshot
On-Device Recommender Systems: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1016/j.inffus.2026.104712openalex-snapshot
Federated recommender systems as distributed knowledge fusion: Techniques, challenges, and future directions
inferred← citeshttps://doi.org/10.1016/j.ipm.2026.105178openalex-snapshot
Target item identification for injection attacks in recommender systems via graph-enhanced user representations
inferred← citeshttps://doi.org/10.1093/comjnl/bxag049openalex-snapshot
FADM: protecting user privacy from attribute inference attacks in federated recommendation
inferred← citeshttps://doi.org/10.1109/cscwd64889.2025.11033513openalex-snapshot
Poisoning Attacks Against Federated Recommender Systems and the Defenses: A Survey
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00053openalex-snapshot
Hide Your Model: A Parameter Transmission-free Federated Recommender System
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00109openalex-snapshot
HeteFedRec: Federated Recommender Systems with Model Heterogeneity
inferred← citeshttps://doi.org/10.1109/tkde.2024.3522763openalex-snapshot
HidAttack: An Effective and Undetectable Model Poisoning Attack to Federated Recommenders
inferred← citeshttps://doi.org/10.1145/3626772.3657814openalex-snapshot
Poisoning Decentralized Collaborative Recommender System and Its Countermeasures
inferred← citeshttps://doi.org/10.1145/3627673.3679617openalex-snapshot
Watermarking Recommender Systems
inferred← citeshttps://doi.org/10.1145/3627673.3679828openalex-snapshot
Attacking Visually-aware Recommender Systems with Transferable and Imperceptible Adversarial Styles
inferred← citeshttps://doi.org/10.1145/3641285openalex-snapshot
Robust Recommender Systems with Rating Flip Noise
inferred← citeshttps://doi.org/10.1145/3666088openalex-snapshot
Adversarial Item Promotion on Visually-Aware Recommender Systems by Guided Diffusion
inferred← citeshttps://doi.org/10.1145/3688570openalex-snapshot
Federated Recommender System Based on Diffusion Augmentation and Guided Denoising
inferred← citeshttps://doi.org/10.1145/3701551.3703484openalex-snapshot
Towards Secure and Robust Recommender Systems: A Data-Centric Perspective
inferred← citeshttps://doi.org/10.1145/3701716.3715860openalex-snapshot
A Tutorial of Personalized Federated Recommender Systems: Recent Advances and Future Directions
inferred← citeshttps://doi.org/10.1145/3708344openalex-snapshot
PTF-FSR: A Parameter Transmission-Free Federated Sequential Recommender System
inferred← citeshttps://doi.org/10.1145/3745025openalex-snapshot
Interaction Privacy Vulnerability in Federated Recommendation and Lossless Countermeasure
inferred← citeshttps://doi.org/10.1145/3746252.3761032openalex-snapshot
Budget and Frequency Controlled Cost-Aware Model Extraction Attack on Sequential Recommenders
inferred← citeshttps://doi.org/10.1145/3795526openalex-snapshot
Federated Recommendation via Stochastic Aggregation and Consistency Inference
inferred← citeshttps://doi.org/10.1145/3797026openalex-snapshot
Balancing Imperceptible and Aggressive Poisoning Attack for Recommender Systems: A Simple Multinomial Diffusion Model
inferred← citeshttps://doi.org/10.3390/electronics15061292openalex-snapshot
Explainable and Federated Recommender Systems: A Survey and Conceptual Framework for Trustworthy Personalization
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