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Gray-Box Shilling Attack: An Adversarial Learning Approach

https://doi.org/10.1145/3512352
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What this work says

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

inferredcites →https://doi.org/10.1007/978-3-030-16145-3_33openalex-snapshot
A Minimax Game for Generative and Discriminative Sample Models for Recommendation
inferredcites →https://doi.org/10.1007/978-3-031-05981-0_7openalex-snapshot
IDSGAN: Generative Adversarial Networks for Attack Generation Against Intrusion Detection
inferredcites →https://doi.org/10.1007/s10462-012-9364-9openalex-snapshot
Shilling attacks against recommender systems: a comprehensive survey
inferredcites →https://doi.org/10.1007/s11257-008-9050-4openalex-snapshot
Unsupervised strategies for shilling detection and robust collaborative filtering
inferredcites →https://doi.org/10.1016/j.eswa.2018.08.001openalex-snapshot
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
inferredcites →https://doi.org/10.1016/j.ipl.2011.02.003openalex-snapshot
Userrank for item-based collaborative filtering recommendation
inferredcites →https://doi.org/10.1016/j.knosys.2019.04.001openalex-snapshot
Detecting shilling attacks in recommender systems based on analysis of user rating behavior
inferredcites →https://doi.org/10.1016/j.neucom.2018.05.045openalex-snapshot
Auto-painter: Cartoon image generation from sketch by using conditional Wasserstein generative adversarial networks
inferredcites →https://doi.org/10.1016/j.neucom.2019.01.028openalex-snapshot
A deep variational matrix factorization method for recommendation on large scale sparse dataset
inferredcites →https://doi.org/10.1016/j.physa.2017.04.048openalex-snapshot
Hybrid attacks on model-based social recommender systems
inferredcites →https://doi.org/10.1109/etncc.2015.7184808openalex-snapshot
Shilling attack detection in Collaborative Recommender Systems using a Meta Learning strategy
inferredcites →https://doi.org/10.1109/icdm.2008.22openalex-snapshot
Collaborative Filtering for Implicit Feedback Datasets
inferredcites →https://doi.org/10.1109/ictai.2018.00102openalex-snapshot
Detection of Shilling Attack Based on Bayesian Model and User Embedding
inferredcites →https://doi.org/10.1109/mis.2007.45openalex-snapshot
Attacks and Remedies in Collaborative Recommendation
inferredcites →https://doi.org/10.1109/tkde.2018.2789443openalex-snapshot
Exploring Hierarchical Structures for Recommender Systems
inferredcites →https://doi.org/10.1145/1216295.1216307openalex-snapshot
Lies and propaganda
inferredcites →https://doi.org/10.1145/1278366.1278372openalex-snapshot
Toward trustworthy recommender systems
inferredcites →https://doi.org/10.1145/1557019.1557072openalex-snapshot
Collaborative filtering with temporal dynamics
inferredcites →https://doi.org/10.1145/1639714.1639740openalex-snapshot
Statistical attack detection
inferredcites →https://doi.org/10.1145/1864708.1864728openalex-snapshot
Collaborative filtering via euclidean embedding
inferredcites →https://doi.org/10.1145/3038912.3052569openalex-snapshot
Neural Collaborative Filtering
inferredcites →https://doi.org/10.1145/3077136.3080786openalex-snapshot
IRGAN
inferredcites →https://doi.org/10.1145/3209978.3209981openalex-snapshot
Adversarial Personalized Ranking for Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271725openalex-snapshot
Adaptive Implicit Friends Identification over Heterogeneous Network for Social Recommendation
inferredcites →https://doi.org/10.1145/3269206.3271743openalex-snapshot
CFGAN
inferredcites →https://doi.org/10.1145/3274694.3274706openalex-snapshot
Poisoning Attacks to Graph-Based Recommender Systems
inferredcites →https://doi.org/10.1145/3298689.3347031openalex-snapshot
Adversarial attacks on an oblivious recommender
inferredcites →https://doi.org/10.1145/3308558.3313413openalex-snapshot
Rating Augmentation with Generative Adversarial Networks towards Accurate Collaborative Filtering
inferredcites →https://doi.org/10.1145/3366423.3380072openalex-snapshot
Influence Function based Data Poisoning Attacks to Top-N Recommender Systems
inferredcites →https://doi.org/10.1145/988672.988726openalex-snapshot
Shilling recommender systems for fun and profit
inferredcites →https://doi.org/10.1360/n112017-00112openalex-snapshot
Unorganized malicious attacks detection
inferredcites →https://doi.org/10.1587/transinf.2015edp7500openalex-snapshot
Shilling Attack Detection in Recommender Systems via Selecting Patterns Analysis
inferredcites →https://doi.org/10.1609/aaai.v32i1.12037openalex-snapshot
Generative Adversarial Network Based Heterogeneous Bibliographic Network Representation for Personalized Citation Recommendation
inferredcites →https://doi.org/10.48550/arxiv.1705.10513openalex-snapshot
IRGAN: A Minimax Game for Unifying Generative and Discriminative Information Retrieval Models
inferredcites →https://doi.org/10.52202/085713openalex-snapshot
Advances in Neural Information Processing Systems 19

What points at this work

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

inferred← citeshttps://doi.org/10.1007/978-3-031-46674-8_26openalex-snapshot
A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-3-032-14107-1_20openalex-snapshot
LLM-MAD: Multi-agent LLM Reasoning for Multi-modal Shilling Attack Detection in Online Platforms
inferred← citeshttps://doi.org/10.1007/978-981-99-2233-8_8openalex-snapshot
Robust Graph Embedding Recommendation Against Data Poisoning Attack
inferred← citeshttps://doi.org/10.1016/j.cose.2023.103433openalex-snapshot
SoK: Realistic adversarial attacks and defenses for intelligent network intrusion detection
inferred← citeshttps://doi.org/10.1016/j.cose.2024.104030openalex-snapshot
A recommendation attack detection approach integrating CNN with Bagging
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.130730openalex-snapshot
A semi-supervised detection approach for group shilling attacks based on pseudo-labels
inferred← citeshttps://doi.org/10.1016/j.ins.2026.123412openalex-snapshot
Invisible poisoning attack on recommender systems based on multi-view uniformity
inferred← citeshttps://doi.org/10.1016/j.is.2024.102419openalex-snapshot
Detecting the adversarially-learned injection attacks via knowledge graphs
inferred← citeshttps://doi.org/10.1016/j.knosys.2023.110931openalex-snapshot
Recommendation attack detection based on improved Meta Pseudo Labels
inferred← citeshttps://doi.org/10.1016/j.knosys.2025.113111openalex-snapshot
IFM: Integrating and fine-tuning adversarial examples of recommendation system under multiple models to enhance their transferability
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.135083openalex-snapshot
Anti-denoising profile pollution attacks on diffusion model-based recommender systems
inferred← citeshttps://doi.org/10.1109/ccwc67433.2026.11393796openalex-snapshot
Mitigating the Information Cocoon Effect in Cognitively Aligned Recommendations: A Human-Centered Approach
inferred← citeshttps://doi.org/10.1109/icaisc56366.2023.10085506openalex-snapshot
An Enhanced Method for Detecting Attack in Collaborative Recommender System
inferred← citeshttps://doi.org/10.1109/qpain69676.2026.11546025openalex-snapshot
KG-Sepsis: Knowledge-Guided Temporal Graph Neural Networks for Early Sepsis Prediction in ICU
inferred← citeshttps://doi.org/10.1109/tbdata.2023.3248626openalex-snapshot
Enhancing the Transferability of Adversarial Examples Based on Nesterov Momentum for Recommendation Systems
inferred← citeshttps://doi.org/10.1109/tcss.2024.3451452openalex-snapshot
ReOP: Generating Transferable Fake Users for Recommendation Systems via Reverse Optimization
inferred← citeshttps://doi.org/10.1109/tcss.2024.3465008openalex-snapshot
Shilling Attacks and Fake Reviews Injection: Principles, Models, and Datasets
inferred← citeshttps://doi.org/10.1109/tkde.2023.3282907openalex-snapshot
Self-Supervised Learning for Recommender Systems: A Survey
inferred← citeshttps://doi.org/10.1109/tkde.2025.3639434openalex-snapshot
Attacks and Detections in Recommender Systems: A Comprehensive Analysis for Models, Progresses, and Trends
inferred← citeshttps://doi.org/10.1109/wccis68230.2025.00014openalex-snapshot
T-GAT: Time-Aware Graph Attention Networks for Dynamic Shilling Attack Detection
inferred← citeshttps://doi.org/10.1145/3630259openalex-snapshot
Adaptive Adversarial Contrastive Learning for Cross-Domain Recommendation
inferred← citeshttps://doi.org/10.1145/3682063openalex-snapshot
Toward Ubiquitous Interaction-Attentive and Extreme-Aware Crowd Activity Level Prediction
inferred← citeshttps://doi.org/10.1145/3726302.3730003openalex-snapshot
ID-Free Not Risk-Free: LLM-Powered Agents Unveil Risks in ID-Free Recommender Systems
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/10.1145/3746252.3761347openalex-snapshot
Linking Ordered and Orderless Modeling for Sequential Recommendation
inferred← citeshttps://doi.org/10.1145/3774904.3792166openalex-snapshot
PAMAS: Self-Adaptive Multi-Agent System with Perspective Aggregation for Misinformation Detection
inferred← citeshttps://doi.org/10.1145/3801943openalex-snapshot
EMPRA: Embedding Perturbation Rank Attack against Neural Ranking Models
inferred← citeshttps://doi.org/10.3233/ida-230575openalex-snapshot
Unsupervised contaminated user profile identification against shilling attack in recommender system
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