Profil

EL MESTARI Soumia Zohra

University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) > IRiSC

Main Referenced Co-authors
DEMIRCI, Huseyin  (1)
Doğan, Fatma Sümeyra (1)
Fatma Sumeyra Dogan (1)
LENZINI, Gabriele  (1)
Maria Botes, Wilhelmina (1)
Main Referenced Keywords
Algorithmic Discrimination (1); Anonymization techniques (1); Automated Decisions, (1); Data protection and privacy (1); data re-use (1);
Main Referenced Unit & Research Centers
Interdisciplinary Centre for Security, Reliability and Trust (SnT) > IRiSC - Socio-Technical Cybersecurity (2)
Main Referenced Disciplines
Computer science (4)
European & international law (1)
Law, criminology & political science: Multidisciplinary, general & others (1)

Publications (total 4)

The most downloaded
293 downloads
EL MESTARI, S. Z., LENZINI, G., & DEMIRCI, H. (February 2024). Preserving data privacy in machine learning systems. Computers and Security, 137, 103605. doi:10.1016/j.cose.2023.103605 https://hdl.handle.net/10993/58978

The most cited

22 citations (OpenAlex)

EL MESTARI, S. Z., LENZINI, G., & DEMIRCI, H. (February 2024). Preserving data privacy in machine learning systems. Computers and Security, 137, 103605. doi:10.1016/j.cose.2023.103605 https://hdl.handle.net/10993/58978

Fatma Sumeyra Dogan* , & EL MESTARI, S. Z.*. (In press). Techniques to achieve anonymization of health data: When are they sufficient to be considered as legally complaint? Springer Communications in Computer and Information Science.
Peer reviewed
* These authors have contributed equally to this work.

Poe, R. L., & EL MESTARI, S. Z. (2024). The Conflict Between Algorithmic Fairness and Non-Discrimination: An Analysis of Fair Automated Hiring. Journal of the Association for Computing Machinery. doi:10.1145/3630106.3659015
Peer Reviewed verified by ORBi

EL MESTARI, S. Z., LENZINI, G., & DEMIRCI, H. (February 2024). Preserving data privacy in machine learning systems. Computers and Security, 137, 103605. doi:10.1016/j.cose.2023.103605
Peer Reviewed verified by ORBi

EL MESTARI, S. Z.* , Doğan, F. S.* , & Maria Botes, W. (2023). Technical and Legal Aspects Relating to the (Re)Use of Health Data When Repurposing Machine Learning Models in the EU. In Privacy Symposium 2023 (pp. 33--48). Springer International Publishing. doi:10.1007/978-3-031-44939-0_3
Peer reviewed
* These authors have contributed equally to this work.

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