Privacy Preserving Machine Learning Systems. - Soumia Zohra El Mestari (AIES, 2022)

Techniques to Achieve Anonymization of Health Data: When are They Sufficient to Be Considered as Legally Complaint? - Fatma Sumeyra Dogan; Soumia Zohra El Mestari; Marietjie Botes (PKDD/ECML Workshops (1), 2023)

The Flawed Foundations of Fair Machine Learning. - Robert Lee Poe; Soumia Zohra El Mestari (CoRR, 2023)

The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring. - Robert Lee Poe; Soumia Zohra El Mestari (FAccT, 2024)

Preserving data privacy in machine learning systems. - Soumia Zohra El Mestari; Gabriele Lenzini; Hüseyin Demirci (Comput. Secur., 2024)

Can Contributing More Put You at a Higher Leakage Risk? The Relationship Between Shapley Value and Training Data Leakage Risks in Federated Learning. - Soumia Zohra El Mestari; Maciej Krzysztof Zuziak; Gabriele Lenzini; Salvatore Rinzivillo (SECRYPT, 2025)