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Attacks and Remedies in Collaborative Recommendation
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-3-540-30123-3_4openalex-snapshot
Semantically Enhanced Collaborative Filtering on the Web
inferredcites →https://doi.org/10.1007/978-3-540-30468-5_31openalex-snapshot
Trust-Aware Collaborative Filtering for Recommender Systems
inferredcites →https://doi.org/10.1007/978-3-540-72079-9_9openalex-snapshot
Collaborative Filtering Recommender Systems
inferredcites →https://doi.org/10.1109/cec-eee.2006.34openalex-snapshot
Detecting Profile Injection Attacks in Collaborative Recommender Systems
inferredcites →https://doi.org/10.1109/mis.2007.44openalex-snapshot
Attacking Recommender Systems: A Cost-Benefit Analysis
inferredcites →https://doi.org/10.1142/s1469026802000646openalex-snapshot
AN EVOLUTIONARY APPROACH TO MINING ROBUST MULTI-RESOLUTION WEB PROFILES AND CONTEXT SENSITIVE URL ASSOCIATIONS
inferredcites →https://doi.org/10.1145/1097047.1097061openalex-snapshot
Preventing shilling attacks in online recommender systems
inferredcites →https://doi.org/10.1145/1150402.1150465openalex-snapshot
Classification features for attack detection in collaborative recommender systems
inferredcites →https://doi.org/10.1145/1278366.1278372openalex-snapshot
Toward trustworthy recommender systems
inferredcites →https://doi.org/10.1145/312624.312682openalex-snapshot
An algorithmic framework for performing collaborative filtering
inferredcites →https://doi.org/10.1145/3130348.3130372openalex-snapshot
An Algorithmic Framework for Performing Collaborative Filtering
inferredcites →https://doi.org/10.1145/336597.336662openalex-snapshot
Content-based book recommending using learning for text categorization
inferredcites →https://doi.org/10.1145/371920.372071openalex-snapshot
Item-based collaborative filtering recommendation algorithms
inferredcites →https://doi.org/10.1145/988672.988726openalex-snapshot
Shilling recommender systems for fun and profit
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/9781119764113.ch13openalex-snapshot
Machine Learning Adversarial Attacks: A Survey Beyond
inferred← citeshttps://doi.org/10.1007/978-3-030-44038-1_39openalex-snapshot
Shilling Attacks Detection in Collaborative Recommender System: Challenges and Promise
inferred← citeshttps://doi.org/10.1007/978-3-030-49669-2_18openalex-snapshot
Crowdsourcing Under Data Poisoning Attacks: A Comparative Study
inferred← citeshttps://doi.org/10.1007/978-3-031-30672-3_7openalex-snapshot
A New Reconstruction Attack: User Latent Vector Leakage in Federated Recommendation
inferred← citeshttps://doi.org/10.1007/978-3-319-04960-1_37openalex-snapshot
Identifying Sources of Misinformation in Online Social Networks
inferred← citeshttps://doi.org/10.1007/978-3-319-05813-9_15openalex-snapshot
Thwarting Passive Privacy Attacks in Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-3-642-11145-7_32openalex-snapshot
A User Trust-Based Collaborative Filtering Recommendation Algorithm
inferred← citeshttps://doi.org/10.1007/978-3-642-14306-9_38openalex-snapshot
A Framework for Intelligent Games
inferred← citeshttps://doi.org/10.1007/978-3-642-15037-1_21openalex-snapshot
People Recommendation Based on Aggregated Bidirectional Intentions in Social Network Site
inferred← citeshttps://doi.org/10.1007/978-3-642-24209-0_18openalex-snapshot
Secure Personalized Recommendation System for Mobile User
inferred← citeshttps://doi.org/10.1007/978-3-642-39878-0_19openalex-snapshot
Robustness Analysis of Naïve Bayesian Classifier-Based Collaborative Filtering
inferred← citeshttps://doi.org/10.1007/978-981-10-0557-2_112openalex-snapshot
Recommender Systems: Issues, Challenges, and Research Opportunities
inferred← citeshttps://doi.org/10.1007/978-981-10-6875-1_47openalex-snapshot
Justified Group Recommender Systems
inferred← citeshttps://doi.org/10.1007/978-981-33-6815-6_15openalex-snapshot
Business Analytics: Process and Practical Applications
inferred← citeshttps://doi.org/10.1007/978-981-97-2614-1_4openalex-snapshot
Enhancing popSAD: A New Approach to Shilling Attack Detection in Collaborative Recommenders
inferred← citeshttps://doi.org/10.1007/s10462-012-9364-9openalex-snapshot
Shilling attacks against recommender systems: a comprehensive survey
inferred← citeshttps://doi.org/10.1007/s10462-018-9655-xopenalex-snapshot
Shilling attacks against collaborative recommender systems: a review
inferred← citeshttps://doi.org/10.1007/s10844-021-00686-1openalex-snapshot
Analyzing and improving stability of matrix factorization for recommender systems
inferred← citeshttps://doi.org/10.1007/s11277-024-11401-yopenalex-snapshot
Detecting Unknown Shilling Attacks in Recommendation Systems
inferred← citeshttps://doi.org/10.1007/s11518-018-5374-8openalex-snapshot
A Comparative Study on Shilling Detection Methods for Trustworthy Recommendations
inferred← citeshttps://doi.org/10.1007/s12652-020-02164-yopenalex-snapshot
Hybrid convolutional neural network (CNN) and long-short term memory (LSTM) based deep learning model for detecting shilling attack in the social-aware network
inferred← citeshttps://doi.org/10.1007/s13278-012-0049-9openalex-snapshot
Pruning trust–distrust network via reliability and risk estimates for quality recommendations
inferred← citeshttps://doi.org/10.1007/s13369-022-07568-wopenalex-snapshot
Robustness Analysis of Multi-Criteria Top-n Collaborative Recommender System
inferred← citeshttps://doi.org/10.1007/s43674-021-00001-zopenalex-snapshot
Personalized recommendation: an enhanced hybrid collaborative filtering
inferred← citeshttps://doi.org/10.1016/j.eswa.2011.11.087openalex-snapshot
A hybrid approach for personalized recommendation of news on the Web
inferred← citeshttps://doi.org/10.1016/j.eswa.2013.11.039openalex-snapshot
Robustness analysis of privacy-preserving model-based recommendation schemes
inferred← citeshttps://doi.org/10.1016/j.eswa.2015.09.012openalex-snapshot
Robustness analysis of arbitrarily distributed data-based recommendation methods
inferred← citeshttps://doi.org/10.1016/j.eswa.2018.08.001openalex-snapshot
Robustness analysis of multi-criteria collaborative filtering algorithms against shilling attacks
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.101964openalex-snapshot
Design of a dynamic and robust recommender system based on item context, trust, rating matrix and rating time using social networks analysis
inferred← citeshttps://doi.org/10.1016/j.knosys.2018.02.032openalex-snapshot
UD-HMM: An unsupervised method for shilling attack detection based on hidden Markov model and hierarchical clustering
inferred← citeshttps://doi.org/10.1016/j.knosys.2019.04.001openalex-snapshot
Detecting shilling attacks in recommender systems based on analysis of user rating behavior
inferred← citeshttps://doi.org/10.1016/j.knosys.2021.107390openalex-snapshot
Simulating real profiles for shilling attacks: A generative approach
inferred← citeshttps://doi.org/10.1049/cje.2019.06.010openalex-snapshot
L 2, 1‐Norm Regularized Matrix Completion for Attack Detection in Collaborative Filtering Recommender Systems
inferred← citeshttps://doi.org/10.1049/iet-ifs.2016.0345openalex-snapshot
Defending shilling attacks in recommender systems using soft co‐clustering
inferred← citeshttps://doi.org/10.1051/itmconf/20235401009openalex-snapshot
Analysing supervised learning approaches for detecting shilling attacks in collaborative recommendations
inferred← citeshttps://doi.org/10.1063/5.0114737openalex-snapshot
TRS: Trusted recommendation system for fast changing dataset
inferred← citeshttps://doi.org/10.1080/11663081.2022.2124067openalex-snapshot
Reasoning about manipulation in multi-agent systems
inferred← citeshttps://doi.org/10.1109/access.2019.2902042openalex-snapshot
Privacy-Aware Detection of Shilling Profiles on Arbitrarily Distributed Recommender Systems
inferred← citeshttps://doi.org/10.1109/access.2020.3022962openalex-snapshot
Understanding Shilling Attacks and Their Detection Traits: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1109/access.2023.3289404openalex-snapshot
Experimental and Theoretical Study for the Popular Shilling Attacks Detection Methods in Collaborative Recommender System
inferred← citeshttps://doi.org/10.1109/access.2023.3321322openalex-snapshot
Using Ensemble Method to Detect Attacks in the Recommender System
inferred← citeshttps://doi.org/10.1109/access.2025.3641632openalex-snapshot
BEE-VAR: A Novel Unsupervised Method for Shilling Attack Detection
inferred← citeshttps://doi.org/10.1109/ase51524.2021.9678946openalex-snapshot
Adversarial Attacks to API Recommender Systems: Time to Wake Up and Smell the Coffee?
inferred← citeshttps://doi.org/10.1109/bigdata.2017.8258235openalex-snapshot
Detection of profile injection attacks in social recommender systems using outlier analysis
inferred← citeshttps://doi.org/10.1109/cse.2009.93openalex-snapshot
Evaluating the Impact of Attacks in Collaborative Tagging Environments
inferred← citeshttps://doi.org/10.1109/cyber-rci55324.2022.10032671openalex-snapshot
Improving Resistance of Matrix Factorization Recommenders To Data Poisoning Attacks
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/icccnt.2018.8494141openalex-snapshot
Advancing Recommender Systems by Mitigating Shilling Attacks
inferred← citeshttps://doi.org/10.1109/iccpct.2017.8074240openalex-snapshot
Secure recommendation system for E-commerce website
inferred← citeshttps://doi.org/10.1109/icde.2017.208openalex-snapshot
Effects of User Interactions on Online Social Recommender Systems
inferred← citeshttps://doi.org/10.1109/icicisys.2009.5358201openalex-snapshot
Improving recommendation lists through neighbor diversification
inferred← citeshttps://doi.org/10.1109/iciii.2011.242openalex-snapshot
A Hybrid Item-based Recommendation Algorithm against Segment Attack in Collaborative Filtering Systems
inferred← citeshttps://doi.org/10.1109/icmecg.2011.10openalex-snapshot
Analysis of Bandwagon and Average Hybrid Attack Model against Trust-based Recommender Systems
inferred← citeshttps://doi.org/10.1109/icmlc.2012.6358947openalex-snapshot
Collaborative filtering recommender system in adversarial environment
inferred← citeshttps://doi.org/10.1109/icsssm.2015.7170330openalex-snapshot
A comparative study of shilling attack detectors for recommender systems
inferred← citeshttps://doi.org/10.1109/icws.2016.75openalex-snapshot
Shilling Attacks Analysis in Collaborative Filtering Based Web Service Recommendation Systems
inferred← citeshttps://doi.org/10.1109/inventive.2016.7824865openalex-snapshot
Shilling attack models in recommender system
inferred← citeshttps://doi.org/10.1109/iti.2009.5196072openalex-snapshot
On the role of social software techniques for the design of self-organising enterprise reporting portals
inferred← citeshttps://doi.org/10.1109/mass50613.2020.00050openalex-snapshot
Multi-Armed-Bandit-based Shilling Attack on Collaborative Filtering Recommender Systems
inferred← citeshttps://doi.org/10.1109/pic.2010.5687920openalex-snapshot
Robust evaluation of binary collaborative recommendation under profile injection attack
inferred← citeshttps://doi.org/10.1109/socpar.2011.6089138openalex-snapshot
Detection of shilling attacks in collaborative filtering recommender systems
inferred← citeshttps://doi.org/10.1109/tcss.2020.3013878openalex-snapshot
Detecting Group Shilling Attacks in Online Recommender Systems Based on Bisecting K-Means Clustering
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.2026.3722474openalex-snapshot
Efficient Poisoning Attacks Against Reinforcement Learning-Based Recommender Systems
inferred← citeshttps://doi.org/10.1145/1370700.1370702openalex-snapshot
Using data mining and recommender systems to scale up the requirements process
inferred← citeshttps://doi.org/10.1145/3397271.3401046openalex-snapshot
How Dataset Characteristics Affect the Robustness of Collaborative Recommendation Models
inferred← citeshttps://doi.org/10.1145/3412841.3442011openalex-snapshot
On the instability of embeddings for recommender systems
inferred← citeshttps://doi.org/10.1145/3437963.3441757openalex-snapshot
A Black-Box Attack Model for Visually-Aware Recommender Systems
inferred← citeshttps://doi.org/10.1145/3460120.3484805openalex-snapshot
Reverse Attack: Black-box Attacks on Collaborative Recommendation
inferred← citeshttps://doi.org/10.1145/3463274.3463809openalex-snapshot
Adversarial Machine Learning: On the Resilience of Third-party Library Recommender Systems
inferred← citeshttps://doi.org/10.1145/3512352openalex-snapshot
Gray-Box Shilling Attack: An Adversarial Learning Approach
inferred← citeshttps://doi.org/10.1145/3539618.3591751openalex-snapshot
Poisoning Self-supervised Learning Based Sequential Recommendations
inferred← citeshttps://doi.org/10.1145/3634737.3637660openalex-snapshot
PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems
inferred← citeshttps://doi.org/10.1145/3672608.3707821openalex-snapshot
An Adversarial Model with Diffusion for Robust Recommendation against Shilling Attack
inferred← citeshttps://doi.org/10.12720/joams.1.1.54-60openalex-snapshot
Shilling Attacks against Privacy-Preserving Collaborative Filtering
inferred← citeshttps://doi.org/10.12785/ijcds/130168openalex-snapshot
Recommendation Systems: Types, Applications, and Challenges
inferred← citeshttps://doi.org/10.1371/journal.pone.0338319openalex-snapshot
Multi-criteria group shilling attacks
inferred← citeshttps://doi.org/10.14257/ijsia.2015.9.3.03openalex-snapshot
Robust Analysis of Network based Recommendation Algorithms against Shilling Attacks
inferred← citeshttps://doi.org/10.14257/ijunesst.2014.7.6.01openalex-snapshot
Robust Recommendation Algorithm based on Metadata Fusion
inferred← citeshttps://doi.org/10.14722/ndss.2021.24525openalex-snapshot
Data Poisoning Attacks to Deep Learning Based Recommender Systems
inferred← citeshttps://doi.org/10.18038/estubtda.1672606openalex-snapshot
ROBUSTNESS ANALYSIS OF GENETIC ALGORITHM-BASED PRIVACY-PRESERVING RECOMMENDATION ALGORITHMS
inferred← citeshttps://doi.org/10.20532/cit.2018.1003948openalex-snapshot
An Obfuscated Attack Detection Approach for Collaborative Recommender Systems
inferred← citeshttps://doi.org/10.26483/ijarcs.v8i7.4550openalex-snapshot
A REVIEW OF ATTACKS AND ITS DETECTION ATTRIBUTES ON COLLABORATIVE RECOMMENDER SYSTEMS
inferred← citeshttps://doi.org/10.26686/wgtn.17000518openalex-snapshot
Exploiting Latent Information in Recommender Systems
inferred← citeshttps://doi.org/10.26686/wgtn.17000518.v1openalex-snapshot
Exploiting Latent Information in Recommender Systems
inferred← citeshttps://doi.org/10.3233/ida-194935openalex-snapshot
Using the beta distribution technique to detect attacked items from collaborative filtering
inferred← citeshttps://doi.org/10.32604/cmc.2022.020437openalex-snapshot
Generating A New Shilling Attack for Recommendation Systems
inferred← citeshttps://doi.org/10.32657/10356/175790openalex-snapshot
Towards trustworthy recommenders: building explainable and unbiased recommendation systems
inferred← citeshttps://doi.org/10.32920/ryerson.14655801openalex-snapshot
Development of personalized online systems for web search, recommendations, and e-commerce
inferred← citeshttps://doi.org/10.32920/ryerson.14655801.v1openalex-snapshot
Development of personalized online systems for web search, recommendations, and e-commerce
inferred← citeshttps://doi.org/10.3390/app122111256openalex-snapshot
Issues and Solutions in Deep Learning-Enabled Recommendation Systems within the E-Commerce Field
inferred← citeshttps://doi.org/10.3390/app15063412openalex-snapshot
DIFshilling: A Diffusion Model for Shilling Attacks
inferred← citeshttps://doi.org/10.3724/sp.j.1004.2011.00160openalex-snapshot
An Unsupervised Algorithm for Detecting Shilling Attacks on Recommender Systems
inferred← citeshttps://doi.org/10.3724/sp.j.1004.2013.01681openalex-snapshot
Detecting Shilling Attacks in Recommender Systems Based on Non-random-missing Mechanism
inferred← citeshttps://doi.org/10.3745/jips.2013.9.1.157openalex-snapshot
Performance Improvement of a Movie Recommendation System based on Personal Propensity and Secure Collaborative Filtering
inferred← citeshttps://doi.org/10.3837/tiis.2013.05.019openalex-snapshot
Shilling Attacks Against Memory-Based Privacy-Preserving Recommendation Algorithms
inferred← citeshttps://doi.org/10.3837/tiis.2024.05.011openalex-snapshot
Robustness Analysis of a Novel Model-Based Recommendation Algorithms in Privacy Environment
inferred← citeshttps://doi.org/10.4018/978-1-4666-5063-3.ch013openalex-snapshot
Predictive Analytics of Social Networks
inferred← citeshttps://doi.org/10.4018/978-1-4666-9562-7.ch056openalex-snapshot
Predictive Analytics of Social Networks
inferred← citeshttps://doi.org/10.4018/978-1-5225-5637-4.ch042openalex-snapshot
Predictive Analytics of Social Networks
inferred← citeshttps://doi.org/10.4018/ijwp.2018070105openalex-snapshot
Evaluating Prediction Accuracy, Developmental Challenges, and Issues of Recommender Systems
inferred← citeshttps://doi.org/10.4018/ijwsr.2017070104openalex-snapshot
The Performance of Location Aware Shilling Attacks in Web Service Recommendation
inferred← citeshttps://doi.org/10.4108/eai.30-11-2016.2267031openalex-snapshot
A robust reputation-based location-privacy recommender system using opportunistic networks
inferred← citeshttps://doi.org/10.4304/jcp.9.10.2328-2334openalex-snapshot
A Robust Collaborative Recommendation Algorithm Incorporating Trustworthy Neighborhood Model
inferred← citeshttps://doi.org/10.4304/jsw.8.1.11-18openalex-snapshot
A Robust Collaborative Filtering Recommendation Algorithm Based on Multidimensional Trust Model
inferred← citeshttps://doi.org/10.46632/daai/3/2/17openalex-snapshot
Shilling Attack Detection in User Based Recommendation System
inferred← citeshttps://doi.org/10.47112/neufmbd.2023.22openalex-snapshot
Shilling Attack Detection with One Class Support Vector Machines
inferred← citeshttps://doi.org/10.48550/arxiv.1610.04086openalex-snapshot
Unorganized Malicious Attacks Detection
inferred← citeshttps://doi.org/10.48550/arxiv.1908.07968openalex-snapshot
Assessing the Impact of a User-Item Collaborative Attack on Class of Users
inferred← citeshttps://doi.org/10.48550/arxiv.2104.05796openalex-snapshot
On the instability of embeddings for recommender systems: the case of Matrix Factorization
inferred← citeshttps://doi.org/10.5445/ir/1000022794openalex-snapshot
Using Data Mining for Facilitating User Contributions in the Social Semantic Web
inferred← citeshttps://doi.org/10.55041/ijsrem15152openalex-snapshot
DETECTION AND MONITORING MULTIPLE SHILLING ATTACK IN ONLINE MANAGEMENT SYSTEMS PREDICATED ON BISECTING K-MEANS CLUSTRING ALGORITHM
inferred← citeshttps://doi.org/10.5829/ije.2023.36.02b.12openalex-snapshot
A New Mechanism for Detecting Shilling Attacks in Recommender Systems Based on Social Network Analysis and Gaussian Rough Neural Network with Emotional Learning
inferred← citeshttps://doi.org/10.65109/lxbu9508openalex-snapshot
A Deliberate BIAT Logic for Modeling Manipulations
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