"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 101–200 of 311

  1. A differentially private matrix factorization based on vector perturbation for recommender system
    Xun Ran, Yong Wang, Leo Yu Zhang, Jun Ma · 2022 · Neurocomputing
  2. Learning Differentially Private Mechanisms
    Subhajit Roy, Justin Hsu, Aws Albarghouthi · 2021 · IEEE Symposium on Security and Privacy (S&P)
  3. SDDR: Light-Weight, Secure Mobile Encounters
    Matthew Lentz, Viktor Erdélyi, Paarijaat Aditya, Elaine Shi, Bobby Bhattacharjee, Peter Druschel · 2014
  4. Testing the Lipschitz Property over Product Distributions with Applications to Data Privacy
    Kashyap Dixit, Madhav Kumar Jha, Sofya Raskhodnikova, Abhradeep Thakurta · 2013 · Lecture notes in computer science
  5. Differentially Private Kalman Filtering
    Jérôme Le Ny · 2020 · Springer briefs in electrical and computer engineering
  6. How Much Is Too Much? Leveraging Ads Audience Estimation to Evaluate Public Profile Uniqueness
    Chen, Terence, Chaabane, Abdelberi, Tournoux, Pierre Ugo, Kaafar, Mohamed-Ali, Boreli, Roksana · 2013 · Lecture Notes in Computer Science
  7. Compressive Privacy for a Linear Dynamical System
    Yang Song, Chong Xiao Wang, Wee Peng Tay · 2019 · IEEE Transactions on Information Forensics and Security
  8. Privacy-Preserving High-dimensional Data Collection with Federated Generative Autoencoder
    Xue Jiang, Xuebing Zhou, Jens Großklags · 2021 · Proceedings on Privacy Enhancing Technologies
  9. Measuring the Success of Recommender Systems: A PLS-SEM Approach
    Maximilian Gotthardt, Vitaliy Mezhuyev · 2022 · IEEE Access
  10. Model Inversion Attacks for Online Prediction Systems: Without Knowledge of Non-Sensitive Attributes
    Seira Hidano, Takao Murakami, Shuichi Katsumata, Shinsaku Kiyomoto, Goichiro Hanaoka · 2018 · IEICE Transactions on Information and Systems
  11. Differentially-private release of check-in data for venue recommendation
    Daniele Riboni, Cláudio Bettini · 2014 · IEEE International Conference on Pervasive Computing and Communications
  12. Ethical and legal considerations for nutrition virtual coaches
    Davide Calvaresi, Rachel Carli, Jean-Gabriel Piguet, Victor Contreras, Gloria Luzzani, Amro Najjar, Jean-Paul Calbimonte, M. Schumacher · 2022 · AI and Ethics
  13. Differentially Private Matrix Factorization using Sketching Techniques
    Raghavendran Balu, Teddy Furon · 2016 · ACM Workshop on Information Hiding and Multimedia Security (IH&MMSec)
  14. Differentially private nonlinear observer design using contraction analysis
    Jérôme Le Ny · 2018 · International Journal of Robust and Nonlinear Control
  15. Sanitizing and measuring privacy of large sparse datasets for recommender systems
    Julián Salas · 2019 · Journal of Ambient Intelligence and Humanized Computing
  16. Privacy Dashboards: Reconciling Data-Driven Business Models and Privacy
    Christian Zimmermann, Rafael Accorsi, Günter Müller · 2014 · International Conference on Availability, Reliability and Security (ARES)
  17. Inference Attack on Browsing History of Twitter Users Using Public Click Analytics and Twitter Metadata
    Jonghyuk Song, Sangho Lee, Jong Kyoung Kim · 2014 · IEEE Transactions on Dependable and Secure Computing
  18. Privacy for Recommender Systems
    Bart P. Knijnenburg, Shlomo Berkovsky · 2017 · ACM Conference on Recommender Systems (RecSys)
  19. RON-Gauss: Enhancing Utility in Non-Interactive Private Data Release
    Thee Chanyaswad, Changchang Liu, Prateek Mittal · 2018 · Proceedings on Privacy Enhancing Technologies
  20. Private collaborative filtering under untrusted recommender server
    Ping Xiong, Lefeng Zhang, Tianqing Zhu, Gang Li, Wanlei Zhou · 2018 · Future Generation Computer Systems
  21. Privacy Implications of Ubiquitous Caching in Named Data Networking Architectures
    Tobias Lauinger, Thorsten Strufe, Technische Universität, Nikolaos Laoutaris B, Ernst W. Biersack, Pablo Rodríguez, Engin Kirda · 2013
  22. Differential Privacy: A Cryptographic Approach to Private Data Analysis
    Cynthia Dwork · 2014 · Cambridge University Press eBooks
  23. Privacy in Social Media: Identification, Mitigation and Applications
    Ghazaleh Beigi, Huan Liu · 2018 · arXiv (Cornell University)
  24. Having your Privacy Cake and Eating it Too: Platform-supported Auditing of Social Media Algorithms for Public Interest
    Basileal Imana, Aleksandra Korolova, John Heidemann · 2023 · Proceedings of the ACM on Human-Computer Interaction
  25. Attached to “The Algorithm”: Making Sense of Algorithmic Precarity on Instagram
    Yim Register, Lucy Qin, Amanda Baughan, Emma S. Spiro · 2023 · CHI Conference on Human Factors in Computing Systems
  26. Privacy aspects of health related information sharing in online social networks
    Sadegh Torabi, Konstantin Beznosov · 2013
  27. Privacy-Aware Load Ensemble Control: A Linearly-Solvable MDP Approach
    Ali Hassan, Deepjyoti Deka, Yury Dvorkin · 2021 · IEEE Transactions on Smart Grid
  28. Privacy-Preserving Collaborative Estimation for Networked Vehicles With Application to Collaborative Road Profile Estimation
    Huan Bing Gao, Zhaojian Li, Yongqiang Wang · 2022 · IEEE Transactions on Intelligent Transportation Systems
  29. The Impact of Differential Privacy on Recommendation Accuracy and Popularity Bias
    Peter Müllner, Elisabeth Lex, Markus Schedl, Dominik Kowald · 2024 · Lecture notes in computer science
  30. User Consented Federated Recommender System Against Personalized Attribute Inference Attack
    Hu, Qi, Song, Yangqiu · 2024 · Proceedings of the 17th ACM International Conference on Web Search and Data Mining
  31. The price of privacy in untrusted recommendation engines
    Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié · 2012 · Allerton Conference on Communication, Control, and Computing
  32. A Literature Survey and Classifications on Data Deanonymisation
    Dalal Al-Azizy, David E. Millard, Iraklis Symeonidis, Kieron O’Hara, Nigel Shadbolt · 2016 · Lecture notes in computer science
  33. LOGAN: Membership Inference Attacks Against Generative Models
    Jamie Hayes, Luca Melis, George Danezis, Emiliano De Cristofaro · 2017 · arXiv (Cornell University)
  34. Privacy preservation for recommendation databases
    Surapon Riyana, Juggapong Natwichai · 2018 · Service Oriented Computing and Applications
  35. An Analysis of Memory Based Collaborative Filtering Recommender Systems with Improvement Proposals
    Claudio Adrian Levinas · 2014 · UPCommons institutional repository (Universitat Politècnica de Catalunya)
  36. UnSplit: Data-Oblivious Model Inversion, Model Stealing, and Label Inference Attacks Against Split Learning
    Ege Erdoğan, Alptekın Küpçü, A. Ercüment Çiçek · 2021 · arXiv (Cornell University)
  37. Recommender Systems Meet Large Language Model Agents: A Survey
    Xi Zhu, Yu Wang, Hang Gao, Wujiang Xu, Chen Wang, Zhiwei Liu, Kun Wang, Mingyu Jin, Linsey Xiaolin Pang, Qing Weng et al. · 2025 · Foundations and Trends® in Privacy and Security
  38. “When and Where Do You Want to Hide?” – Recommendation of Location Privacy Preferences with Local Differential Privacy
    Maho Asada, Masatoshi Yoshikawa, Yang Cao · 2019 · Lecture notes in computer science
  39. Application of Differential Privacy for Collaborative Filtering Based Recommendation System: A Survey
    Dongkun Hou, Jie Zhang, Jieming Ma, Xiaohui Zhu, Ka Lok Man · 2021 · International Symposium on Parallel Architectures, Algorithms and Programming
  40. A Privacy-Preserving Multi-Task Framework for Knowledge Graph Enhanced Recommendation
    Bin Yu, Chenyu Zhou, Chen Bo Calvin Zhang, Guodong Wang, Yiming Fan · 2020 · IEEE Access
  41. Emotional influences on user continuous use intention in recommended news apps: A study of algorithm appreciation and fatigue within the cognition-affect-conation framework
    Ke Zhang, Yuchen Xie, Yutong He, Jing Wang · 2025 · Acta Psychologica
  42. A Security-assured Accuracy-maximised Privacy Preserving Collaborative Filtering Recommendation Algorithm
    Zhigang Lü, Hong Shen · 2014 · International Database Engineering and Applications Symposium (IDEAS)
  43. Point-of-Interest Recommendation with User’s Privacy Preserving in an IoT Environment
    Guoming Zhang, Lianyong Qi, Xuyun Zhang, Xiaolong Xu, Wanchun Dou · 2021 · Mobile Networks and Applications
  44. Fast and Space-optimal Low-rank Factorization in the Streaming Model With Application in Differential Privacy.
    Jalaj Upadhyay · 2016 · arXiv (Cornell University)
  45. Privacy preserving collaborative filtering for KNN attack resisting
    Tianqing Zhu, Gang Li, Lei Pan, Yongli Ren, Wanlei Zhou · 2014 · Social Network Analysis and Mining
  46. Evaluating Differentially Private Generative Adversarial Networks Over Membership Inference Attack
    Cheol-Hee Park, Youngsoo Kim, Jong‐Geun Park, Dowon Hong, Changho Seo · 2021 · IEEE Access
  47. A robust neural network for privacy-preserving heart rate estimation in remote healthcare systems
    Tasnim Nishat Islam, Hafiz Imtiaz · 2024 · Healthcare Analytics
  48. Rethinking Health Recommender Systems for Active Aging: An Autonomy-Based Ethical Analysis
    Simona Tiribelli, Davide Calvaresi · 2024 · Science and Engineering Ethics
  49. Privacy-Preserving Context-Aware Recommender Systems: Analysis and New Solutions
    Qiang Tang, Jun Wang · 2015 · Lecture notes in computer science
  50. Towards Differential Privacy in Sequential Recommendation: A Noisy Graph Neural Network Approach
    Wentao Hu, Hui Fang · 2024 · ACM Transactions on Knowledge Discovery from Data
  51. Differentially Private Graph Neural Networks for Link Prediction
    Xun Ran, Qingqing Ye, Haibo Hu, Xin Sunny Huang, Jianliang Xu, Jie Fu · 2024 · IEEE International Conference on Data Engineering (ICDE)
  52. Privacy Preserving Collaborative Filtering via the Johnson-Lindenstrauss Transform
    Mengmeng Yang, Tianqing Zhu, Lichuan Ma, Yang Xiang, Wanlei Zhou · 2017 · IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)
  53. Understanding the Manipulation on Recommender Systems through Web Injection
    Yubao Zhang, Jidong Xiao, Shuai Hao, Haining Wang, Sencun Zhu, Sushil Jajodia · 2019 · IEEE Transactions on Information Forensics and Security
  54. Bands of privacy preserving objectives: classification of PPDM strategies
    Rui Li, Denise de Vries, John F. Roddick · 2011 · Australasian Data Mining Conference
  55. Personalized Privacy Preserving Collaborative Filtering
    Mengmeng Yang, Tianqing Zhu, Yang Xiang, Wanlei Zhou · 2017 · Lecture notes in computer science
  56. Privacy-preserving recommendation system based on social relationships
    Simin Yu, Hao Wang, Ye Su, Ziyu Niu, Zhi Li, Jianjun Liu, Jiwei Wang · 2024 · Journal of King Saud University - Computer and Information Sciences
  57. Differentially private MIMO filtering for event streams and spatio-temporal monitoring
    Jérôme Le Ny, Meisam Mohammady · 2014 · IEEE Conference on Decision and Control (CDC)
  58. On the discovery of fake binary ratings
    Murat Okkalıoğlu, Mehmet Koç, Hüseyin Polat · 2015 · ACM Symposium on Applied Computing
  59. The Effect of Privacy Concerns on Privacy Recommenders
    Yuchen Zhao, Juan Ye, Tristan Henderson · 2016 · ACM International Conference on Intelligent User Interfaces (IUI)
  60. Demographic Inference Via Knowledge Transfer in Cross-Domain Recommender Systems
    Jin Shang, Mingxuan Sun, Kevyn Collins‐Thompson · 2018 · Proceedings
  61. Differentially Private Neighborhood-Based Recommender Systems
    Jun Wang, Qiang Tang · 2017 · IFIP advances in information and communication technology
  62. Privacy-preserving Hybrid Recommender System
    Qiang Tang, Husen Wang · 2017 · International Workshop on Security in Cloud Computing (SCC)
  63. Efficient Noise Generation Protocols for Differentially Private Multiparty Computation
    Reo Eriguchi, Atsunori Ichikawa, Noboru Kunihiro, Koji Nuida · 2022 · IEEE Transactions on Dependable and Secure Computing
  64. Privacy-preserving recommendation system based on user classification
    Junwei Luo, Xuechao Yang, Xun Yi, Fengling Han · 2023 · Journal of Information Security and Applications
  65. PrivacyCanary: Privacy-Aware Recommenders with Adaptive Input Obfuscation
    Thivya Kandappu, Arik Friedman, Roksana Boreli, Vijay Sivaraman · 2014 · Proceedings - International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunication Systems
  66. I Know Nothing about You But Here is What You Might Like
    Rachid Guerraoui, Anne-Marie Kermarrec, Rhicheek Patra, Mahammad Valiyev, Jingjing Wang · 2017 · International Conference on Dependable Systems & Networks/Proceedings
  67. Providing accurate models across private partitioned data: Secure maximum likelihood estimation
    Joshua Snoke, Timothy R. Brick, Aleksandra Slavković, Michael D. Hunter · 2018 · The Annals of Applied Statistics
  68. Probabilistic Inference and Trustworthiness Evaluation of Associative Links toward Malicious Attack Detection for Online Recommendations
    Zhihai Yang, Qindong Sun, Yaling Zhang · 2020 · IEEE Transactions on Dependable and Secure Computing
  69. Incremental release of differentially-private check-in data
    Daniele Riboni, Cláudio Bettini · 2014 · Pervasive and Mobile Computing
  70. Cryptographically-enhanced privacy for recommender systems
    Arjan J. P. Jeckmans · 2013
  71. Differentially Private Data Release: Improving Utility with Wavelets and Bayesian Networks
    Xiaokui Xiao · 2014 · Lecture notes in computer science
  72. Inference of Suspicious Co-Visitation and Co-Rating Behaviors and Abnormality Forensics for Recommender Systems
    Zhihai Yang, Qindong Sun, Yaling Zhang, Lei Zhu, Wenjiang Ji · 2020 · IEEE Transactions on Information Forensics and Security
  73. On differentially private filtering for event streams
    Jérôme Le Ny · 2013 · IEEE Conference on Decision and Control (CDC)
  74. Evaluating the Privacy Risk of User-Shared Images
    Ming Cheung, James Pei Man She · 2016 · ACM Transactions on Multimedia Computing Communications and Applications
  75. Privacy in Social Information Access
    Bart P. Knijnenburg · 2018 · Lecture notes in computer science
  76. A Differential Privacy Framework for Collaborative Filtering
    Jing Yang, Xiaoye Li, Zhenlong Sun, Jianpei Zhang · 2019 · Mathematical Problems in Engineering
  77. BLC
    Alessandro Checco, Giuseppe Bianchi, Douglas J. Leith · 2017 · ACM Transactions on Privacy and Security
  78. A Categorization of Transparency-Enhancing Technologies
    Zimmermann, Christian · 2015 · arXiv (Cornell University)
  79. An efficient privacy-preserving recommender system in wireless networks
    Junwei Luo, Xun Yi, Fengling Han, Xuechao Yang · 2022 · Wireless Networks
  80. Surveying More Than Two Decades of Music Information Retrieval Research on Playlists
    Giovanni Gabbolini, Derek Bridge · 2024 · ACM Transactions on Intelligent Systems and Technology
  81. Distributed Differentially Private Matrix Factorization for Implicit Data via Secure Aggregation
    Chenhong Luo, Yong Wang, Yanjun Zhang, Leo Yu Zhang · 2024 · IEEE Transactions on Computers
  82. Inferring Private Demographics of New Users in Recommender Systems
    Mingxuan Sun, Changbin Li, Hongyuan Zha B · 2017 · ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM)
  83. Distributed GAN-Based Privacy-Preserving Publication of Vertically-Partitioned Data
    Xue Jiang, Yufei Zhang, Xuebing Zhou, Jens Großklags · 2023 · Proceedings on Privacy Enhancing Technologies
  84. I know the shortened URLs you clicked on Twitter
    Jonghyuk Song, Sang-Ho Lee, Jong Kyoung Kim · 2013 · International World Wide Web Conference (WWW)
  85. Privacy-preserving Data Mining in Industry
    Krishnaram Kenthapadi, Ilya Mironov, Abhradeep Thakurta · 2019 · International World Wide Web Conference (WWW)
  86. Three Birds With One Stone: User Intention Understanding and Influential Neighbor Disclosure for Injection Attack Detection
    Zhihai Yang, Qindong Sun, Zhaoli Liu · 2022 · IEEE Transactions on Information Forensics and Security
  87. Matrix Factorization without User Data Retention
    David Vallet, Arik Friedman, Shlomo Berkovsky · 2014 · Lecture notes in computer science
  88. Differential Privacy Protection Recommendation Algorithm Based on Student Learning Behavior
    Feng Pei, Haiping Zhu, Yu Liu, Yan Chen, Qinghua Zheng · 2018 · IEEE International Conference on e-Business Engineering (ICEBE)
  89. Internet Privacy
    Johannes A Buchmann · 2012 · Acatech-Studie
  90. Privacy-Preserving Two-Party Collaborative Filtering on Overlapped Ratings
    Burak Memis, İbrahim Yakut · 2014 · KSII Transactions on Internet and Information Systems
  91. A Robust Recommender System Against Adversarial and Shilling Attacks Using Diffusion Networks and Self-Adaptive Learning
    Ali Alhwayzee, Saeed Araban, Davood Zabihzadeh · 2025 · Symmetry
  92. The Utility and Privacy Effects of a Click
    Rachid Guerraoui, Anne-Marie Kermarrec, Mahsa Taziki · 2017 · International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR)
  93. Collaborative filtering under a sybil attack
    Davide Frey, Rachid Guerraoui, Anne-Marie Kermarrec, Antoine Rault · 2015 · European Workshop on System Security
  94. Privacy-preserving matrix factorization for recommendation systems using Gaussian mechanism and functional mechanism
    Sohan Salahuddin Mugdho, Hafiz Imtiaz · 2024 · International Journal of Machine Learning and Cybernetics
  95. Academic literature recommendation in large-scale citation networks enhanced by large language models
    Kun Liu, Yan Ting Zhang, Rui Pan, Tianchen Gao, Hansheng Wang · 2025 · Scientometrics
  96. A novel target item-based similarity function in privacy-preserving collaborative filtering
    Emre Yalçın, Alper Bilge · 2024 · The Journal of Supercomputing
  97. Sharing Health Information on Facebook: Practices, Preferences, and Risk Perceptions of North American Users
    Sadegh Torabi, Konstantin Beznosov · 2016 · Zenodo (CERN European Organization for Nuclear Research)
  98. Influence of data errors on differential privacy
    Tao Wang, Zhengquan Xu, Dong Wang, Hao Wang · 2017 · Cluster Computing
  99. Utility-Based Differentially Private Recommendation System
    S. Sangeetha, G. Sudha Sadasivam, R. Latha · 2021 · Big Data
  100. Thwarting Passive Privacy Attacks in Collaborative Filtering
    Rui Chen, Min Xie, Laks V. S. Lakshmanan · 2014 · Lecture notes in computer science