Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks - Shengyao Zhuang; Ekaterina Khramtsova; Xueguang Ma; Bevan Koopman; Jimmy Lin; Guido Zuccon (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation - Jonathan J. Ross; Ekaterina Khramtsova; Anton van der Vegt; Bevan Koopman; Guido Zuccon (Proceedings of the 48th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2025, Padua, Italy, July 13-18, 2025, 2025)

Document Screenshot Retrievers are Vulnerable to Pixel Poisoning Attacks - Shengyao Zhuang; Ekaterina Khramtsova; Xueguang Ma; Bevan Koopman; Jimmy Lin; Guido Zuccon (CoRR, 2025)

Source-Free Domain-Invariant Performance Prediction - Ekaterina Khramtsova; Mahsa Baktashmotlagh; Guido Zuccon; Xi Wang; Mathieu Salzmann (Computer Vision - ECCV 2024 - 18th European Conference, Milan, Italy, September 29-October 4, 2024, Proceedings, Part LXXX, 2024)

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation - Shuai Wang; Ekaterina Khramtsova; Shengyao Zhuang; Guido Zuccon (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Leveraging LLMs for Unsupervised Dense Retriever Ranking - Ekaterina Khramtsova; Shengyao Zhuang; Mahsa Baktashmotlagh; Guido Zuccon (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection - Ekaterina Khramtsova; Teerapong Leelanupab; Shengyao Zhuang; Mahsa Baktashmotlagh; Guido Zuccon (Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, SIGIR 2024, Washington DC, USA, July 14-18, 2024, 2024)

Leveraging LLMs for Unsupervised Dense Retriever Ranking - Ekaterina Khramtsova; Shengyao Zhuang; Mahsa Baktashmotlagh; Guido Zuccon (CoRR, 2024)

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation - Shuai Wang; Ekaterina Khramtsova; Shengyao Zhuang; Guido Zuccon (CoRR, 2024)

Embark on DenseQuest: A System for Selecting the Best Dense Retriever for a Custom Collection - Ekaterina Khramtsova; Teerapong Leelanupab; Shengyao Zhuang; Mahsa Baktashmotlagh; Guido Zuccon (CoRR, 2024)

Source-Free Domain-Invariant Performance Prediction - Ekaterina Khramtsova; Mahsa Baktashmotlagh; Guido Zuccon; Xi Wang; Mathieu Salzmann (CoRR, 2024)

Convolutional Persistence as a Remedy to Neural Model Analysis - Ekaterina Khramtsova; Guido Zuccon; Xi Wang; Mahsa Baktashmotlagh (International Conference on Artificial Intelligence and Statistics, 25-27 April 2023, Palau de Congressos, Valencia, Spain, 2023)

Selecting which Dense Retriever to use for Zero-Shot Search - Ekaterina Khramtsova; Shengyao Zhuang; Mahsa Baktashmotlagh; Xi Wang; Guido Zuccon (Annual International ACM SIGIR Conference on Research and Development in Information Retrieval in the Asia Pacific Region, SIGIR-AP 2023, Beijing, China, November 26-28, 2023, 2023)

Selecting which Dense Retriever to use for Zero-Shot Search - Ekaterina Khramtsova; Shengyao Zhuang; Mahsa Baktashmotlagh; Xi Wang; Guido Zuccon (CoRR, 2023)

Rethinking Persistent Homology For Visual Recognition - Ekaterina Khramtsova; Guido Zuccon; Xi Wang; Mahsa Baktashmotlagh (Topological, Algebraic and Geometric Learning Workshops 2022, 25-22 July 2022, Virtual, 2022)

Rethinking Persistent Homology for Visual Recognition - Ekaterina Khramtsova; Guido Zuccon; Xi Wang; Mahsa Baktashmotlagh (CoRR, 2022)

Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection - Ekaterina Khramtsova; Christian A. Hammerschmidt; Sofiane Lagraa; Radu State (40th IEEE International Conference on Distributed Computing Systems, ICDCS 2020, Singapore, November 29 - December 1, 2020, 2020)