Wu, H., Zhao, Z., Chen, L. Y., & Van Moorsel, A. (2022). Federated Learning for Tabular Data: Exploring Potential Risk to Privacy. 2022 IEEE 33rd International Symposium on Software Reliability Engineering (ISSRE), USA, 193-204. doi:10.1109/ISSRE55969.2022.00028.

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, USA. doi:978-1-939133-37-3.

Olabode, S., Owens, R., Zhang, V. N., Copilah-Ali, J., Kolomeets, M., Wu, H., Malviya, S., Markeviciute, K., Spiliotopoulos, T., Neesham, C., Shi, L., & Chambers, D. (2023). Complex online harms and the smart home: A scoping review. Future Generation Computer Systems, 149, 664-678. https://doi.org/10.1016/j.future.2023.08.019

Arnau-González, P., Serrano-Mamolar, A., Katsigiannis, S., Althobaiti, T., & Arevalillo-Herráez, M. (2023). Toward Automatic Tutoring of Math Word Problems in Intelligent Tutoring Systems. IEEE Access, 11, 67030-67039. https://doi.org/10.1109/ACCESS.2023.3290478

Arnau-González, P., Serrano-Mamolar, A., Katsigiannis, S., Arevalillo-Herráez, M., & Miguel. (2023). Towards Automatic Tutoring of Custom Student-Stated Math Word Problems. In International Conference on Artificial Intelligence in Education (AIED), Tokyo, Japan. https://doi.org/10.1007/978-3-031-36336-8_99

Spiliotopoulos, T., Sheik, A. T., Gottardello, D., & Dover, R. M. (2023). Onboarding Citizens to Digital Identity Systems. In International Conference on AI and the Digital Economy, CADE 2023. doi: 10.48550/arXiv.2306.13511

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

Toreini, E., Mehrnezhad, M. & van Moorsel, A. (2023). Fairness as a Service (FaaS): verifiable and privacy-preserving fairness auditing of machine learning systems. Int. J. Inf. Secur. https://doi.org/10.1007/s10207-023-00774-z

Toreini, E., Mehrnezhad, M. & van Moorsel, A. (2023). Verifiable Fairness: Privacy-preserving Computation of Fairness for Machine Learning Systems. European Symposium on Research in Computer Security workshop, 2023. https://arxiv.org/abs/2309.06061