"You Might Also Like:" Privacy Risks of Collaborative Filtering

Calandrino, Joseph A., Kilzer, Ann, Narayanan, Arvind, Felten, Edward W., Shmatikov, Vitaly·2011·2011 IEEE Symposium on Security and Privacy
DOI 10.1109/sp.2011.40

Cited by (311)

Items 201–300 of 311

  1. Deferentially Private Tagging Recommendation Based on Topic Model
    Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, Yuan Yin Cao · 2014 · Lecture notes in computer science
  2. Privacy-preserving shared collaborative web services QoS prediction
    An Liu, Xindi Shen, Haoran Xie, Zhixu Li, Guanfeng Liu, Jiajie Xu, Lei Zhao, Fu Lee Wang · 2018 · Journal of Intelligent Information Systems
  3. ($$l^{p_1}, \ldots ,l^{p_n}$$)-Privacy: privacy preservation models for numerical quasi-identifiers and multiple sensitive attributes
    Surapon Riyana · 2021 · Journal of Ambient Intelligence and Humanized Computing
  4. Evaluating differentially private decision tree model over model inversion attack
    Cheol-Hee Park, Dowon Hong, Changho Seo · 2021 · International Journal of Information Security
  5. State of Online Privacy: A Technical Perspective
    Florian Kelbert, Fatemeh Shirazi, Hervais Simo, Tobias Wüchner, Johannes A Buchmann, Alexander Pretschner, Michael Waidner · 2012 · Acatech-Studie
  6. Improved collaborative filtering with intensity-based contraction
    Baojiang Cui, Haifeng Jin, Zheli Liu, Jiangdong Deng · 2015 · Journal of Ambient Intelligence and Humanized Computing
  7. Private Stochastic Multi-arm Bandits: From Theory to Practice
    Nikita Mishra, Abhradeep Thakurta · 2014
  8. Dancing in the Dark: Private Multi-Party Machine Learning in an Untrusted Setting
    Clement Fung, Jamie Koerner, Stewart Grant, Ivan Beschastnikh · 2018 · arXiv (Cornell University)
  9. The decreasing marginal value of evaluation network size
    Zheng Dong, L. Jean Camp · 2011 · ACM SIGCAS Computers and Society
  10. You May Also Like... Privacy: Recommendation Systems Meet PIR
    Adithya Vadapalli, Fattaneh Bayatbabolghani, Ryan Henry · 2021 · Proceedings on Privacy Enhancing Technologies
  11. An Understanding of the Vulnerability of Datasets to Disparate Membership Inference Attacks
    Hunter D. Moore, Andrew Wills Stephens, William T. Scherer · 2022 · Journal of Cybersecurity and Privacy
  12. RDPCF: Range-based differentially private user data perturbation for collaborative filtering
    Taolin Guo, Shunshun Peng, Kai Dong, You Zhao, Mingliang Zhou · 2023 · Computers & Security
  13. KAPUER: A Decision Support System for Privacy Policies Specification
    Arnaud Oglaza, Pascale Zaraté, Romain Laborde · 2014 · Annals of Data Science
  14. An Improved (k,p,l)-Anonymity Method for Privacy Preserving Collaborative Filtering
    Ruoxuan Wei, Hong Shen, Hui Tian · 2017 · Globecom
  15. Differentially Private Recommender System with Autoencoders
    Xiaoqian Liu, Qianmu Li, Zhen Ni, Jun Hou · 2019 · IEEE International Conference on Internet of Things (iThings) and IEEE Green Computing and Communications (GreenCom) and IEEE Cyber, Physical and Social Computing (CPSCom) and IEEE Smart Data (SmartData)
  16. Visualizing a Large Spatiotemporal Collection of Historic Photography with a Generous Interface
    Taylor Arnold, Nathaniel Ayers, Justin Madron, Robert Nelson, Lauren Tilton · 2020 · IEEE Workshop on Visualization for the Digital Humanities (VIS4DH)
  17. A differential private collaborative filtering framework based on privacy-relevance of topics
    Tingting Feng, Yuchun Guo, Yishuai Chen · 2016 · IEEE Symposium on Computers and Communications (ISCC)
  18. Recommending with an Agenda: Active Learning of Private Attributes using Matrix Factorization
    Smriti Bhagat, Udi Weinsberg, Stratis Ioannidis, Nina Taft · 2013 · arXiv (Cornell University)
  19. Privacy-enabled scalable recommender systems
    Andrés Dario Moreno Barbosa · 2014
  20. The Price of Privacy in Untrusted Recommender Systems
    Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié · 2015 · IEEE Journal of Selected Topics in Signal Processing
  21. ID-SR: Privacy-Preserving Social Recommendation Based on Infinite Divisibility for Trustworthy AI
    Jingyi Cui, Guangquan Xu, Jian Liu, Shicheng Feng, Jianli Wang, Hao Peng, Shihui Fu, Zhaohua Zheng, Xi Zheng, Shaoying Liu · 2024 · ACM Transactions on Knowledge Discovery from Data
  22. De-Anonymizing Users across Rating Datasets via Record Linkage and Quasi-Identifier Attacks
    Nicolás Torres, Patricio Olivares · 2024 · Data
  23. Differentially Private Stream Processing at Scale
    Bing Zhang, Vadym Doroshenko, Peter Kairouz, Thomas Steinke, Abhradeep Thakurta, Ziyin Ma, Eidan Cohen, Himani Apte, Jodi Spacek · 2024 · Proceedings of the VLDB Endowment
  24. A survey on privacy of health data lifecycle: a taxonomy, review, and future directions
    Sunanda Bose, Dusica Marijan · 2026 · International Journal of Information Security
  25. Privacy-Preserving Collaborative Filtering on Overlapped Ratings
    Burak Memis, İbrahim Yakut · 2013 · IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises (WETICE)
  26. DynaEgo: Privacy-Preserving Collaborative Filtering Recommender System Based on Social-Aware Differential Privacy
    Yan Shen, Shiran Pan, Wen-Tao Zhu, Keke Chen · 2016 · Lecture notes in computer science
  27. Privacy-Preserving Recommendation with Debiased Obfuscaiton
    Lin, Chennan, Liu, Baisong, Zhang, Xueyuan, Wang, Zhiye, Hu, Ce, Luo, Linze · 2022 · 2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
  28. Membership inference attack on differentially private block coordinate descent
    Shazia Riaz, Saqib Ali, Guojun Wang, Muhammad Ahsan Latif, Muhammad Zafar Iqbal · 2023 · PeerJ Computer Science
  29. Privacy-preserving human activity recognition using principal component-based wavelet CNN
    Nadira Pervin, Tahsina Farah Sanam, Hafiz Imtiaz · 2024 · Signal Image and Video Processing
  30. Deep Energy Factorization Model for Demographic Prediction
    Chih-Te Lai, Cheng–Te Li, Shou-De Lin · 2020 · ACM Transactions on Intelligent Systems and Technology
  31. Collaborative Filtering Under a Sybil Attack: Similarity Metrics do Matter!
    Antoine Boutet, Florestant De Moor, Davide Frey, Rachid Guerraoui, Anne-Marie Kermarrec, Antoine Rault · 2018 · International Conference on Dependable Systems & Networks/Proceedings
  32. Exposing Private User Behaviors of Collaborative Filtering via Model Inversion Techniques
    Seira Hidano, Takao Murakami, Shuichi Katsumata, Shinsaku Kiyomoto, Goichiro Hanaoka · 2020 · Proceedings on Privacy Enhancing Technologies
  33. Privacy preserving data mining for numerical matrices, social networks, and big data
    Lian Liu · 2015 · UKnowledge (University of Kentucky)
  34. PARL: Poisoning Attacks Against Reinforcement Learning-based Recommender Systems
    Linkang Du, Quan Yuan, Min Chen, Mingyang Sun, Peng Cheng, Jiming Chen, Zhikun Zhang · 2024 · ACM Asia Conference on Computer and Communications Security (ASIA CCS)
  35. An Efficient Clustering-Based Privacy-Preserving Recommender System
    Junwei Luo, Xun Yi, Fengling Han, Xinyi Huang, Yang Xu · 2022 · Lecture notes in computer science
  36. BÖLÜNMÜŞ VERİ-TABANLI GİZLİLİĞİ KORUYAN ORTAK FİLTRELEME SİSTEMLERİNDE GİZLİ VERİNİN ELDE EDİLMESİ
    Hüseyin Polat, Burcu Demirelli Okkalıoğlu, Mehmet Koç · 2017 · Gazi Üniversitesi Mühendislik-Mimarlık Fakültesi Dergisi
  37. An insider attack on shilling attack detection for recommendation systems
    Zhifeng Luo, Chen Liang · 2016 · IEEE International Conference on Software Engineering and Service Science (ICSESS)
  38. Performance Analysis of a Privacy Constrained kNN Recommendation Using Data Sketches
    Armita Afsharinejad, Neil Hurley · 2018 · ACM International Conference on Web Search and Data Mining (WSDM)
  39. An accuracy-assured privacy-preserving recommender system for internet commerce
    Zhigang Lü, Hong Shen · 2015 · Computer Science and Information Systems
  40. Privacy Accounting and Quality Control in the Sage Differentially Private ML Platform
    Mathias Lécuyer, Riley Spahn, Kiran Vodrahalli, Roxana Geambasu, Daniel Hsu · 2019 · ACM SIGOPS Operating Systems Review
  41. Dynamic Global Sensitivity for Differentially Private Contextual Bandits
    Huazheng Wang, David Zhao, Hongning Wang · 2022 · ACM Conference on Recommender Systems (RecSys)
  42. Differentially Private Recommender System
    Tianqing Zhu, Gang Li, Wanlei Zhou, Philip S. Yu · 2017 · Advances in information security
  43. A novel privacy-preserving matrix factorization recommendation system based on random perturbation
    Zhaoyan Hu, Yonglong Luo, Zheng Xiaoyao, Zhao Yannian · 2020 · Journal of Intelligent & Fuzzy Systems
  44. Foundations for Robust Data Protection: Co-designing Law and Computer Science
    Kobbi Nissim B, Alexandra Wood · 2021 · IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA)
  45. Recommender-based enhancement of discovery in Geoportals
    Bernhard Vockner, Mariana Belgiu, Manfred Mittlboeck · 2012 · International Journal of Spatial Data Infrastructures Research, ,
  46. On the Privacy of Horizontally Partitioned Binary Data-Based Privacy-Preserving Collaborative Filtering
    Murat Okkalıoğlu, Mehmet Koç, Hüseyin Polat · 2016 · Lecture notes in computer science
  47. Sparsity Reduction Technique Using Grouping Method for Matrix Factorization in Differentially Private Recommendation Systems
    Taewhan Kim, Kangsoo Jung, Seog Park · 2020 · IEICE Transactions on Information and Systems
  48. Differential Privacy for Context-Aware Recommender Systems
    Shuxin Yang, Kaili Zhu, Liang Wen · 2019 · IEEE International Conference on Cognitive Informatics & Cognitive Computing (ICCI*CC)
  49. Differential Privacy and Its Application
    Tianqing Zhu · 2014
  50. Data Poisoning Attacks to Session-Based Recommender Systems
    Yueqi Zhang, Ruiping Yin, Zhen Yang · 2022 · International Conference on Communication and Network Security (ICCNS)
  51. The Privacy-Utility Tradeoff in Rank-Preserving Dataset Obfuscation
    Mahshad Shariatnasab, Farhad Shirani, S. S. Iyengar · 2023 · IEEE International Symposium on Information Theory (ISIT)
  52. Privacy-preserving distributed adaptive estimation for non-stationary regression data
    Shuning Chen, Die Gan, Siyu Xie, Jinhu Lü · 2025 · Systems & Control Letters
  53. Intelligent Movie Recommendation System Using AI and ML
    D. S. Hirolikar, Ajinkya Satuse, Omkar Bhalerao, Pavan Pawar, Hrithik Thorat · 2022 · International Journal for Research in Applied Science and Engineering Technology
  54. KAPUER : un assistant à l’écriture de politiques d’autorisation pour la protection de la vie privée
    Arnaud Oglaza, Romain Laborde, Pascale Zaraté · 2014 · Ingénierie des systèmes d information
  55. Robust Analysis on a Privacy Preserving Recommendation Algorithm under the KNN Attack
    Yan Gao, Jingbo Xia, Jing Jing Ji, Ling Ma · 2014 · Applied Mechanics and Materials
  56. Privacy-Preserving Distributed Stream Monitoring (NDSS 2014)
    Arik Friedman, Izchak Sharfman, Daniel Keren, Assaf Schuster · 2014
  57. Reconstructing rated items from perturbed data
    Burcu Demirelli Okkalıoğlu, Mehmet Koç, Hüseyin Polat · 2016 · Neurocomputing
  58. Heimdall
    Amir Rahmati, Earlence Fernandes, Kevin Eykholt, Xinheng Chen, Atul Prakash · 2017 · International Conference on Mobile Systems, Applications, and Services
  59. Recommendations and privacy in the arXiv system: A simulation experiment using historical data
    Vladimir Meñkov, Paul Ginsparg, Paul B. Kantor · 2019 · Journal of the Association for Information Science and Technology
  60. Improved Collaborative Filtering Algorithm Incorporating User Information and Using Differential Privacy
    Jiahui Ren, Xian Xu, Huiqun Yu · 2019 · Communications in computer and information science
  61. Differentially Private Frequent Itemset Mining Against Incremental Updates
    Wenjuan Liang, Hong Chen, Yuncheng Wu, Cuiping Li · 2020 · Lecture notes in computer science
  62. Differential Privacy and Bayesian for Context-Aware Recommender Systems
    Shuxin Yang, Kaili Zhu · 2022 · International Journal of Cognitive Informatics and Natural Intelligence
  63. Algorithms for synthetic data release under differential privacy
    Jun Zhang · 2016
  64. Survey of Privacy-Preserving Collaborative Filtering
    Islam Elnabarawy, Wei Jiang, Donald C. Wunsch · 2020 · arXiv (Cornell University)
  65. Differentially Private Sliced Inverse Regression in the Federated Paradigm
    Shuaida He, Jiarui Zhang, Xin Chen · 2026 · Journal of the American Statistical Association
  66. Forget Me If You Can: Auditing User Data Revocation in Recommendation Systems
    Zhihao Zhu, Yi Yang, Yangyang Fan, Defu Lian · 2026 · Information Systems Research
  67. On Differentially Private Online Collaborative Recommendation Systems
    Seth Lewis Gilbert, Xiao Liu, Haifeng Yu · 2016 · Lecture notes in computer science
  68. GWAP as a Tool to Analyze, Design, and Test Geo-Social Systems
    Martina Deplano, Giancarlo Ruffo · 2013 · IGI Global eBooks
  69. Towards Comprehensive Repositories of Opinions
    Han Zhang, Kasra Edalat Nejad, Amir Rahmati, Harsha V. Madhyastha · 2016 · ACM Workshop on Hot Topics in Networks (HotNets)
  70. Privacy-preserving item-based recommendations over partitioned data with overlaps
    İbrahim Yakut, Jaideep S. Vaidya · 2017 · International Journal of Business Information Systems
  71. Der Beitrag der Informatik zur Musikwirtschaftsforschung
    Christine Bauer · 2017 · Springer eBooks
  72. Analysing and Evaluating Syntactic Privacy Games via a Recommender Systems Case Study
    Robin Ankele, Andrew C. Simpson · 2019 · IEEE SmartWorld, Ubiquitous Intelligence & Computing, Advanced & Trusted Computing, Scalable Computing & Communications, Cloud & Big Data Computing, Internet of People and Smart City Innovation (SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI)
  73. Protecting Recommendations: Combating BIAS and Manipulation in Recommendation
    P. Alwin Infant, Prafulla Kumar, G R Jainish · 2024 · International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud) (I-SMAC)
  74. DPSR: A Differentially Private Social Recommender System for Mobile Users
    Xueling Zhou, Lingbo Wei, Yukun Niu, Chi Zhang, Yuguang Michael Fang · 2019 · Lecture notes in computer science
  75. Telemetry-Aware Add-on Recommendation for Web Browser Customization
    Martin Lopatka, Victor Ng, Ben Paul Miroglio, David Zeber, Alessio Pierluigi Placitelli, Laura Thomson · 2019 · ACM Conference on User Modeling, Adaptation and Personalization (UMAP)
  76. Differential Privacy in Online Dating Recommendation Systems
    Teresa Anna Steiner · 2020 · IFIP advances in information and communication technology
  77. Defining Privacy-Preserving Data Analysis
    Jérôme Le Ny · 2020 · Springer briefs in electrical and computer engineering
  78. A Smart Privacy-Preserving Learning Method by Fake Gradients to Protect Users Items in Recommender Systems
    Guixun Luo, Zhiyuan Zhang, Zhenjiang Zhang, Yun Liu, Lifu Wang · 2020 · Complexity
  79. Confluence of Cryptography and Differential Privacy: A Hybrid Approach for Privacy Preserving Collaborative Filtering
    S. Sangeetha, G. Sudha Sadasivam, V. Nithesh, K. Mounish · 2022 · Algorithms for intelligent systems
  80. Privacy Issues in Stylometric Methods
    Antonios Patergianakis, Konstantinos Limniotis · 2022 · Cryptography
  81. AppRecommender: um recomendador de aplicativos GNU/Linux
    Tássia Camões Araujo · 2011
  82. SocialLink: a Social Network Based Trust System for P2P File Sharing Systems
    Fang Qi · 2013 · TigerPrints (Clemson University)
  83. A Fast Algorithm to Build New Users Similarity List in Neighbourhood-Based Collaborative Filtering
    Zhigang Lü, Hong Shen · 2016 · Lecture notes in electrical engineering
  84. BLC: Private Matrix Factorization Recommenders via Automatic Group Learning
    Alessandro Checco, Giuseppe Bianchi, Douglas J. Leith · 2015 · White Rose Research Online (University of Leeds, The University of Sheffield, University of York)
  85. Privacy preserving data release for tagging recommender systems
    Tianqing Zhu, Gang Li, Yongli Ren, Wanlei Zhou, Ping Xiong · 2015 · Web Intelligence
  86. A Collaborative Filtering Recommender Algorithm Based on Privacy Preserving
    晨晨 李 · 2016 · Computer Science and Application
  87. DPListCF: A differentially private approach for listwise collaborative filtering
    Yuncheng Wu, Juru Zeng, Hong Chen, Yao Wu, Wenjuan Liang, Hui Peng, Cuiping Li · 2016 · IEEE Symposium on Computers and Communications (ISCC)
  88. A Collaborative Filtering Recommender Algorithm Based on Privacy Preserving
    Chenchen Li, Lefeng Zhang, Hui Hui, Ping Xiong, Wuhan Hubei · 2016
  89. Multi-Agent Modeling of Risk-Aware and Privacy-Preserving Recommender Systems
    Vishnu Srivastava · 2017 · UWSpace (University of Waterloo)
  90. An Improved Collaborative Filtering Recommendation Algorithm against Shilling Attacks
    Ruoxuan Wei, Hong Shen · 2016 · International Conference on Parallel and Distributed Computing, Applications and Technologies (PDCAT)
  91. Privacy on Inference Leaking of URL Shortening Service on Twitter
    Anuhya Koormachalam, PVR Murthy · 2017 · Zenodo (CERN European Organization for Nuclear Research)
  92. A Study on User Demographic Inference Via Ratings in Recommender Systems
    Changbin Li · 2017
  93. Privacy-preserving Context-aware Recommender Systems: Analysis and New Solutions.
    Qiang Tang, Jun Wang · 2015
  94. Deriving ratings from a private P2P collaborative scheme
    Murat Okkalıoğlu, Cihan Kaleli · 2019 · KSII Transactions on Internet and Information Systems
  95. Follow Africa: Building an African News Recommender Systems
    Moustapha Diouf Fall, M Guèye · 2019 · Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
  96. A compressive multi-kernel method for privacy-preserving machine learning
    Thee Chanyaswad, J. Morris Chang, Sun‐Yuan Kung · 2021 · arXiv (Cornell University)
  97. One-Bit Matrix Completion with Differential Privacy
    Zhengpin Li, Wei Zheng, Zengfeng Huang, Xiaojun Mao, Jian Wang · 2021 · arXiv (Cornell University)
  98. A Method of Pre-detecting Privacy Leak in Social Network Service Using Collaborative Filtering
    Chungha Kim, Kangsoo Jung, Seog Park · 2013 · Lecture notes in computer science
  99. Implementing a Movie Recommendation System in Machine Learning Using Hybrid Approach
    Rupali Jadhav · 2023 · International Journal for Research in Applied Science and Engineering Technology
  100. Private Matrix Factorization with Public Item Features
    Mihaela Curmei, Walid Krichene, Li Lyna Zhang, Mukund Sundararajan · 2023 · ACM Conference on Recommender Systems (RecSys)