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Zurek, T., Wyner, A., & Bench-Capon, T. (2024). Values and Factor Ascription Arguments. In J. Savelka, J. Harasta, T. Novotna, & J. Misek (Eds.), Legal Knowledge and Information Systems: JURIX 2024: The Thirty-seventh Annual Conference, Brno, Czech Republic, 11-13 December 2024 (pp. 239-248). (Frontiers in Artificial Intelligence and Applications; Vol. 395). IOS Press. https://doi.org/10.3233/FAIA241249
Mann, Z. Á., Petit, J., Thornton, S. M., Buchholz, M., & Millar, J. (2024). SPIDER: Interplay Assessment Method for Privacy and Other Values. In Proceedings 9th IEEE European Symposium on Security and Privacy Workshops: EuroS&PW 2024 : 8-12 July 2024, Vienna, Austria (pp. 1–8). IEEE Computer Society. https://doi.org/10.1109/eurospw61312.2024.00007
Al-Momani, A., Balenson, D., Mann, Z. Á., Pape, S., Petit, J., & Bösch, C. (2024). Navigating Privacy Patterns in the Era of Robotaxis. In Proceedings 9th IEEE European Symposium on Security and Privacy Workshops: EuroS&PW 2024 : 8-12 July 2024, Vienna, Austria (pp. 32–39). IEEE Computer Society. https://doi.org/10.1109/eurospw61312.2024.00011
van den Broek, S., Oprescu, A., & Ruys, T. C. (2024). Bug Localisation in Model-Based Testing using Model-Centric Shrinking. In E. Gonzalez Boix, & C. Scholliers (Eds.), DEBT '24: Proceedings of the 2nd ACM International Workshop on Future Debugging Techniques : September 19, 2024 Vienna, Austria (pp. 9–15). Association for Computing Machinery. https://doi.org/10.1145/3678720.3685315
Zemanek, V., Hu, Y., de Reus, P., Oprescu, A., & Malavolta, I. (2024). Exploring the Impact of K-Anonymisation on the Energy Efficiency of Machine Learning Algorithms. In 2024 10th International Conference on ICT for Sustainability: ICT4S 2024 : 24-28 June 2024, Stockholm, Sweden : proceedings (pp. 128-137). IEEE Computer Society, Conference Publishing Services. https://doi.org/10.1109/ict4s64576.2024.00022
Picek, S., Heuser, A., Jovic, A., Bhasin, S., & Regazzoni, F. (2024). Tipping the Balance: Imbalanced Classes in Deep Learning Side-channel Analysis. IEEE Design and Test, 41(2), 32-38. https://doi.org/10.1109/MDAT.2023.3288808
Brohet, M., & Regazzoni, F. (2024). A Survey on Thwarting Memory Corruption in RISC-V. ACM Computing Surveys, 56(2), Article 28. https://doi.org/10.1145/3604906
Zurek, T., & Stachura-Zurek, D. (2024). Virtue ethics in autonomous agents. In L. Samuelson, S. Frank, M. Toneva, A. Mackey, & E. Hazeltine (Eds.), 46th Annual Meeting of the Cognitive Science Society (CogSci 2024): Dynamics of Cognition : Rotterdam, the Netherlands, 24-27 July 2024 (Vol. 8, pp. 5475-5482). (Proceedings of the Annual Meeting of the Cognitive Science Society; Vol. 46). Cognitive Science Society. https://escholarship.org/uc/item/79k1r487
Pilato, C., Banik, S., Beránek, J., Brocheton, F., Castrillon, J., Cevasco, R., Cmar, R., Curzel, S., Ferrandi, F., Friebel, K. F. A., Galizia, A., Grasso, M., Silva, P., Martinovic, J., Palermo, G., Paolino, M., Parodi, A., Parodi, A., Pintus, F., ... Hagleitner, C. (2024). A System Development Kit for Big Data Applications on FPGA-based Clusters: The EVEREST Approach. In 2024 Design, Automation & Test in Europe Conference & Exhibition (DATE): proceedings : Valencia, Spain, 25-27 March 2024 (pp. 1540-1545). IEEE. https://doi.org/10.23919/date58400.2024.10546518
Mann, Z. Á. (2024). Urgency in Cybersecurity Risk Management: Toward a Solid Theory. In 2024 IEEE 37th Computer Security Foundations Symposium: proceedings : 8-12 July 2024, Enschede, The Netherlands (pp. 651-664). (CSF). IEEE Computer Society. https://doi.org/10.1109/CSF61375.2024.00051

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