Federated Learning For Cyber Security: SOC Collaboration For Malicious URL Detection. - Ekaterina Khramtsova; Christian A. Hammerschmidt; Sofiane Lagraa; Radu State (ICDCS, 2020)

Rethinking Persistent Homology For Visual Recognition. - Ekaterina Khramtsova; Guido Zuccon; Xi Wang 021; Mahsa Baktashmotlagh (TAG-ML, 2022)

Convolutional Persistence as a Remedy to Neural Model Analysis. - Ekaterina Khramtsova; Guido Zuccon; Xi Wang 021; Mahsa Baktashmotlagh (AISTATS, 2023)

Selecting which Dense Retriever to use for Zero-Shot Search. - Ekaterina Khramtsova; Shengyao Zhuang; Mahsa Baktashmotlagh; Xi Wang 021; Guido Zuccon (SIGIR-AP, 2023)

Source-Free Domain-Invariant Performance Prediction. - Ekaterina Khramtsova; Mahsa Baktashmotlagh; Guido Zuccon; Xi Wang 021; Mathieu Salzmann (ECCV (80), 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 (SIGIR, 2024)

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

FeB4RAG: Evaluating Federated Search in the Context of Retrieval Augmented Generation. - Shuai Wang 032; Ekaterina Khramtsova; Shengyao Zhuang; Guido Zuccon (SIGIR, 2024)

RARR Unraveled: Component-Level Insights into Hallucination Detection and Mitigation. - Jonathan J. Ross; Ekaterina Khramtsova; Anton van der Vegt; Bevan Koopman; Guido Zuccon (SIGIR, 2025)

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