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Shilling attacks against recommender systems: a comprehensive survey
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Citations
Cited by
GCN-Based User Representation Learning for Unifying Robust Recommendation and Fraudster Detection
Zhang, S., Yin, H., Chen, T., Hung, Q. V. N., Huang, Z., & Cui, L. (2020) · Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3397271.3401165 · Cited by 175
Himeur, Y., Sohail, S. S., Bensaali, F., Amira, A., & Alazab, M. (2022) · Computers & Security · doi:10.1016/j.cose.2022.102746 · Cited by 139
Serendipity in Recommender Systems: A Systematic Literature Review
Ziarani, R. J., & Ravanmehr, R. (2021) · Journal of Computer Science and Technology · doi:10.1007/s11390-020-0135-9 · Cited by 123
Shilling Black-Box Recommender Systems by Learning to Generate Fake User Profiles
Lin, C., Chen, S., Zeng, M., Zhang, S., Gao, M., & Li, H. (2024) · IEEE Transactions on Neural Networks and Learning Systems · doi:10.1109/tnnls.2022.3183210 · Cited by 62
Manipulating Federated Recommender Systems: Poisoning with Synthetic Users and Its Countermeasures
Yuan, W., Nguyen, Q. V. H., He, T., Chen, L., & Yin, H. (2023) · Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval · doi:10.1145/3539618.3591722 · Cited by 50
Metadata
- Authors
- Gunes, I., Kaleli, C., Bilge, A., & Polat, H.
- Venue
- Artificial Intelligence Review
- Published
- 2012-11-02
- Volume
- 42
- Issue
- 4
- Pages
- 767-799
- ISSN
- 0269-2821 (ISSN-L)
- 1573-7462
- OpenAlex
- W1977290284
- Cited by
- 325
- References
- 0
- FWCI
- 23.59
- Type
- journal article
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: Shilling attacks against recommender systems: a comprehensive survey. https://app.cochat.ai/papers/10.1007/s10462-012-9364-9
- The paper
- Gunes, I., Kaleli, C., Bilge, A., & Polat, H. (2014). Shilling attacks against recommender systems: a comprehensive survey. Artificial Intelligence Review. https://doi.org/10.1007/s10462-012-9364-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
