| Federated learning for cyber security: SOC collaboration for malicious URL detection E Khramtsova, C Hammerschmidt, S Lagraa, R State 2020 IEEE 40th international conference on distributed computing systems …, 2020 | 24 | 2020 |
| Leveraging llms for unsupervised dense retriever ranking E Khramtsova, S Zhuang, M Baktashmotlagh, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 18 | 2024 |
| Feb4rag: Evaluating federated search in the context of retrieval augmented generation S Wang, E Khramtsova, S Zhuang, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 10 | 2024 |
| Selecting which dense retriever to use for zero-shot search E Khramtsova, S Zhuang, M Baktashmotlagh, X Wang, G Zuccon Proceedings of the Annual International ACM SIGIR Conference on Research and …, 2023 | 10 | 2023 |
| Rethinking persistent homology for visual recognition E Khramtsova, G Zuccon, X Wang, M Baktashmotlagh Topological, Algebraic and Geometric Learning Workshops 2022, 206-215, 2022 | 6 | 2022 |
| Source-Free Domain-Invariant Performance Prediction E Khramtsova, M Baktashmotlagh, G Zuccon, X Wang, M Salzmann European Conference on Computer Vision, 99-116, 2024 | 2 | 2024 |
| Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection E Khramtsova, T Leelanupab, S Zhuang, M Baktashmotlagh, G Zuccon Proceedings of the 47th International ACM SIGIR Conference on Research and …, 2024 | 2 | 2024 |
| Convolutional Persistence as a Remedy to Neural Model Analysis E Khramtsova, G Zuccon, X Wang, M Baktashmotlagh International Conference on Artificial Intelligence and Statistics, 10839-10855, 2023 | 2 | 2023 |
| Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks S Zhuang, E Khramtsova, X Ma, B Koopman, J Lin, G Zuccon arXiv preprint arXiv:2501.16902, 2025 | | 2025 |
| Exploring facets of model generalizability on out-of-distribution data E Khramtsova | | 2024 |
