Research Interests and Publications
Research Interests
- Fairness in Machine Learning: Fairness notions, applicability of fairness in ML, Causal-based fairness notions, accuracy and fairness tradeoffs.
- Privacy in Machine Learning: privacy and fairness tradeoffs, privacy enhancing technologies.
Publications
- Karima Makhlouf, Tamara Stefanovic, Héber H. Arcolezi, Catuscia Palamidessi. A Systematic and Formal Study of the Impact of Local Differential Privacy on Fairness: Preliminary Results. Proceedings of the Computer Security Foundations
Symposium (CSF) 2024.
- Karima Makhlouf, Sami Zhioua, and Catuscia Palamedessi. When Causality Meets Fairness: A Survey. Journal of Logical and Algebraic Methods in Programming
(JLAMP) 2024.
- Karima Makhlouf, Héber H. Arcolezi, Sami Zhioua, Ghassen Ben Ibrahim, Catuscia
Palamidessi. On the impact of multi-dimensional local differential privacy on fairness. Proceedings of the European Conference on Machine Learning and Principles and
Practice of Knowledge Discovery in Databases (ECML-PKDD) – Journal track of
Data Mining and Knowledge Discovery (2024).
- Héber H Arcolezi, Karima Makhlouf, Catuscia Palamidessi. (Local) Differential Privacy has NO Disparate Impact on Fairness. In
DBSec 2023 - 37th IFIP Annual Conference on Data and Applications
Security and Privacy (2023). Best Paper Award.
- Guilherme Alves, Fabien Bernier, Miguel Couceiro, Karima Makhlouf, Catuscia Palamidessi, S Zhioua. Survey on Fairness Notions and Related Tensions. EURO Journal on Decision Processes (2023).
- Ruta Binkytė-Sadauskienė, Karima Makhlouf, Carlos Pinzón, S Zhioua, Catuscia Palamidessi. Causal Discovery for Fairness. Proceedings of Machine Learning Research (2023). Presented in the NeurIPS Workshop 2022.
- K. Makhlouf, S. Zhioua, and Catuscia. Palamidessi. Identifiability of Causal-based Fairness Notions: A State of the Art. 14th International Conference on Computational Intelligence and Communication Networks (CICN) (2022).
- K. Makhlouf, S. Zhioua, and Catuscia Palamidessi. Machine learning fairness notions: Bridging the gap with real-world applications. Information Processing and Management, Volume 58, Issue 5 (2021).
- K. Makhlouf, S. Zhioua, and Catuscia Palamidessi. On the Applicability of ML Fairness Notions. ACM SIGKDD Explorations Newsletter, Volume 23, Issue 1, June 2021, pp 1423 (2021).
- Lobna Amouri, Nada Chaaban, Karima Makhlouf, and Nahla El-Haggar.. Exam Questions Classification Based on Bloom’s Taxonomy: Approaches and Techniques. Proceedings on international Conference on Computer and Information Sciences (ICCIS) (2020).
- A Qasem, S Zhioua, K Makhlouf. Finding a needle in a haystack: The traffic analysis version. Proceedings on Privacy Enhancing Technologies (2019).
