Karima Makhlouf,
PhD student,
INRIA, Saclay Ile-de-France
LIX, École Polytechnique, Paris, France

Mailing adress: INRIA, Saclay
1 Rue Honoré d'Estienne d'Orves, 
Bâtiment Alan Turing, Campus de l'École Polytechnique,
 91120 Palaiseau, FRANCE

Email: karima.makhlouf@lix.polytechnique.fr

I am a PhD candidate working under the supervision of Catuscia Palamedessi at INRIA and LIX research group at École Polytechnique, Paris, France.
My research focuses on ethical considerations related to AI. In particular, I work on Fairness and Privacy in Machine Learning and AI in general.

I hold a master's degree in Information Technology from the Université du Québec à Montréal (UQAM), Canada and an engineering degree in Software Engineering from the Institut National des Sciences Appliquées et de Technologie (INSAT), Tunisia.

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

- K Makhlouf, HH Arcolezi,  GB Brajim, C Palamidessi. On the Impact of Multi-dimensional Local Differential Privacy on Fairness. Arxiv (2024).
- HH Arcolezi, K Makhlouf, C 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). 
- ​​G Alves, F Bernier, M Couceiro, K Makhlouf, C Palamidessi, S Zhioua. Survey on Fairness Notions and Related Tensions. ​EURO Journal on Decision Processes (2023).
- R Binkytė-Sadauskienė, K Makhlouf, C Pinzón, S Zhioua, C Palamidessi. Causal Discovery for Fairness. ​Proceedings of Machine Learning Research (2023).
- K. Makhlouf, S. Zhioua, and C. Palamidessi. A survey on causal-based machine learning fairness notions. Arxiv (2022).
- K. Makhlouf, S. Zhioua, and C. 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 C. 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 C. 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).

Teaching

Courses taught

• Computer Programming (Ecole Polytechnique (X)) 
• Software Engineering (IAU)
•  Human Computer Interaction (IAU)
•  Introduction to Computer Science (​IAU)
•  Database Concepts (​IAU)
•  Database Management Systems (​IAU)
•  Computer Graphics (​IAU)
•  Object Oriented Programming (​IAU)
•  System Analysis and Design (​IAU)
• I nternet and Communications (​IAU)
•  ASP.NET (​IAU)

Workshops and trainings given

•  ​ICDL (International Computer Driving Licence) (IAU) 
•  ​Introduction to embeddeed systems programming with ARDUINO (IAU)
• ​ Recent trends of technologies in Human Computer Interaction (IAU)
•  ​Fundamentals of Software Engineering (IAU)

Awards

• Best paper award (DBSec 2023)
• IP Paris PhD best Poster Award in the field of computing, data, and AI (2022) 
• Excellence Teaching Award (2019)

Personal

Citizenship : Tunisia, Canada
Residence : Paris, France
Hobbies : Sport, Reading, and travelling.
Languages: Arabic (native), English, and French.

Videos

On the Applicability of ML Fairness Notions (BIAS 2020)

Interview for the Pause Talk series with Dr. Monica Nagpal 

Last updated: February 2024