Khalfoun Besma

I am a PhD student at DRIM Research Team at LIRIS Laboratory since November 2019. The main objective of my thesis is to develop protection mechanisms for privacy preserving large scale online services, among others, location based services where the disclosure of users' mobility may jeopardize users' privacy.

Location privacy, Distributed systems, Machine learning, Federated learning, Artificial Intelligence, Mobility data analysis, Uniqueness of mobility data.

• Salem, A. B., Khalfoun, B., Mokhtar, S. B., & Mashhadi, A. (2022, June). Quantifying fairness of federated learning LPPM models. In Proceedings of the 20th Annual International Conference on Mobile Systems, Applications and Services (pp. 569-570).

• Besma Khalfoun,Towards User-Side Uniqueness Assessment of Mobility Data with a Federated Learning Approach, Eurosys doctoral workshop (EuroDW'22) (https://sites.google.com/view/eurodw22).

• Besma Khalfoun, Sonia Ben Mokhtar, Sara Bouchenak, and Vlad Nitu. 2021. « EDEN: Enforcing Location Privacy through Re-identification Risk Assessment: A Federated Learning Approach ».Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.5,2, Article 68 (June 2021), 25 pages. https://doi.org/10.1145/3463502 (rank A*).

• Yanis Meziani, Besma Khalfoun, Sara Bouchenak, Sonia Ben Mokhtar, Vlad Nitu. Enforcing Adaptive Location Privacy with Federated Learning COMPAS 2020 : parallémisme, Architecture, Système/ Temps réel, Jun 2020, Lyon, France

• Besma Khalfoun, Mohamed Maouche, Sonia Ben Mokhtar, Sara Bouchenak: « MooD: MObility Data Privacy as Orphan Disease » Experimentation and Deployment Paper. Middleware 2019: 136-148 (rank A).

• Besma Khalfoun, Mohamed Maouche, Sonia Ben Mokhtar, Sara Bouchenak. MooD: MObility Data Privacy as Orphan Disease COMPAS, 2019, Biarritz, France.

• Operating system ( third year INSA Lyon Students).

• Distributed programming ( fourth year INSA Lyon Students).

• Representant of Ph.D students of LIRIS at the computer science federation of Lyon.

• ANR - DFG PRIMATE (2018 - 2021): Privacy-preserving in Trusted Execution Environment (TEE).

• Afra Mashhadi 2022: Study of fairness in FL models.

LIRIS Laboratory, INSA Lyon, 20 Avenue Albert Einstein 69621 Villeurbanne , FRANCE.

Email: besma(dot)khalfoun(at)insa-lyon.fr

Supervisors:

• Sonia Ben Mokhtar

• Sara Bouchenak