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Results: 6
Number of items: 6
  • Open Access
    Liu, Y.-A., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2026). Robust Neural Information Retrieval: An Adversarial and Out-of-Distribution Perspective. ACM Transactions on Information Systems, 44(1), Article 17. https://doi.org/10.1145/3768153
  • Open Access
    Liu, Y.-A., Zhang, R., Guo, J., & de Rijke, M. (2025). Robust Information Retrieval. In WSDM '25: Proceedings of the Eighteenth ACM International Conference on Web Search and Data Mining : March 10-14, 2025, Hannover, Germany (pp. 1008-1011). Association for Computing Machinery. https://doi.org/10.1145/3701551.3703476
  • Open Access
    Song, H., Liu, Y.-A., Zhang, R., Guo, J., Lv, J., de Rijke, M., & Cheng, X. (2025). The Silent Saboteur: Imperceptible Adversarial Attacks against Black-Box Retrieval-Augmented Generation Systems. In W. Che, J. Nabende, E. Shutova, & M. T. Pilehvar (Eds.), The 63rd Annual Meeting of the Association for Computational Linguistics (ACL 2025) : Findings of the Association for Computational Linguistics: ACL 2025: ACL 2025 : July 27-August 1, 2025 (pp. 13935-13952). Association for Computational Linguistics. https://doi.org/10.18653/v1/2025.findings-acl.717
  • Open Access
    Wu, C., Zhang, R., Guo, J., de Rijke, M., Fan, Y., & Cheng, X. (2023). PRADA: Practical Black-Box Adversarial Attacks against Neural Ranking Models. ACM Transactions on Information Systems, 41(4), Article 89. https://doi.org/10.1145/3576923
  • Open Access
    Bénédict, G., Zhang, R., Metzler, D., Yates, A., Deffayet, R., Hager, P., & Jullien, S. (2023). Report on the 1st Workshop on Generative Information Retrieval (Gen-IR 2023) at SIGIR 2023. SIGIR Forum, 57(2), Article 13. https://doi.org/10.1145/3642979.3642995
  • Open Access
    Wu, C., Zhang, R., Guo, J., Chen, W., Fan, Y., de Rijke, M., & Cheng, X. (2022). Certified Robustness to Word Substitution Ranking Attack for Neural Ranking Models. In CIKM '22: proceedings of the 31st ACM International Conference on Information & Knowledge Management : October 17-21, 2022, Atlanta, GA, USA (pp. 2128-2137). The Association for Computing Machinery. https://doi.org/10.1145/3511808.3557256
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