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Bermudez-Villalva, A., Mehrnezhad, M., & Toreini, E. (In press). Measuring online hate on 4chan using pre-trained deep learning models. IEEE Transactions on Technology and Society, 2025.

Chambers, D., & Olabode, S. (2024). Smart home harms: An inquiry into smart technology-enabled domestic abuse to explore design, legal, ethical, and policy responses. 10th European Communication Conference, Ljubljana, Slovenia, 24-27 September 2024.

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Cook, S., Mehrnezhad, M., & Toreini, E. (2024). Bluetooth security analysis of general and intimate health IoT devices and apps: The case of FemTech. International Journal of Information Security. https://doi.org/10.1007/s10207-024-00883-3

Coopamootoo, K. P. L., & Ng, M. (2023). “Un-equal online safety?” A gender analysis of security and privacy protection advice and behaviour patterns. Proceedings of the 32nd USENIX Security Symposium. https://doi.org/978-1-939133-37-3

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Elliott, K., Copilah-Ali, J., & Ng, M. (2025, in print). Opportunities for digital banking: Lived experiences of UK financially vulnerable customers. The Journal of Digital Banking.

Elsafoury, F., & Katsigiannis, S. (2023). On bias and fairness in NLP: Investigating the impact of bias and debiasing in language models on the fairness of toxicity detection. arXiv preprint. https://doi.org/10.48550/arXiv.2305.12829

Elsafoury, F., Wilson, S. R., Katsigiannis, S., & Ramzan, N. (2022). SOS: Systematic offensive stereotyping bias in word embeddings. In Proceedings of the 29th International Conference on Computational Linguistics, 1263–1274, Gyeongju, Republic of Korea. International Committee on Computational Linguistics. https://aclanthology.org/2022.coling-1.108/ 

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Malviya, S., & Katsigiannis, S. (2024). Evidence retrieval for fact verification using multi-stage reranking. In Findings of the Association for Computational Linguistics: EMNLP 2024 (pp. 7295–7308). Miami, FL, USA. https://doi.org/10.18653/v1/2024.findings-emnlp.428

Malviya, S., & Katsigiannis, S. (2024). SK_DU Team: Cross-encoder-based evidence retrieval and question generation with improved prompt for the AVeriTeC Shared Task. In Proceedings of the 7th Fact Extraction and VERification Workshop (FEVER), EMNLP 2024 (pp. 99–107). Miami, FL, USA. https://doi.org/10.18653/v1/2024.fever-1.11

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Olabode, S., & Chambers, D. (2024). Tech abuse: Smart home-facilitated coercive control. 2nd CyberMi2 Research Day, 2024: Cybersecurity and Privacy for Minority and Minoritized People, 24 May 2024, The Exchange, University of Birmingham, UK.

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Toreini, E., Mehrnezhad, M., & Van Moorsel, A. (2023). Fairness as a service (FaaS): Verifiable and privacy-preserving fairness auditing of machine learning systems. International Journal of Information Security. https://doi.org/10.1007/s10207-023-00774-z

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Zilius, K., Spiliotopoulos, T., & Van Moorsel, A. (2023). A dataset of coordinated cryptocurrency-related social media campaigns. Proceedings of the International AAAI Conference on Web and Social Media, 17, 1112-1121. https://doi.org/10.1609/icwsm.v17i1.22219