Manel Slokom

Full Name

M. Slokom

Room

L330

Department(s)

Human-Centered Data Analytics

Function(s)

Researcher

Slokom, M., Agrawal, S., Krol, N. C., & de Wolf, P.-P. (2024). Relational or single: A comparative analysis of data synthesis approaches for privacy and utility on a use case from statistical office. In Proceedings of the International Conference on Privacy in Statistical Databases (pp. 403–419). doi:10.1007/978-3-031-69651-0_27
Aghaddar, M., Su, L. N., Slokom, M., Barnhoorn, L., & de Wolf, P.-P. (2024). A case study exploring data synthesis strategies on tabular vs. aggregated data sources for official statistics. In International Conference on Privacy in Statistical Databases (pp. 420–435). doi:10.1007/978-3-031-69651-0_28
Slokom, M. (2024, July 9). Towards purpose-aware privacy-preserving techniques for predictive applications.
Ooms, S., César Garcia, P. S., El Ali, A., Ceolin, D., Hollink, L., Slokom, M., … La Poutré, H. (2024). Technological innovation in the media sector: Understanding current practices and unraveling opportunities. In CHI EA: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems (pp. 533:1–533:7). doi:10.1145/3613905.3637147
Slokom, M., de Wolf, P.-P., & Larson, M. (2023). Exploring privacy-preserving techniques on synthetic data as a defense against model inversion attacks. In Proceedings of the 26th International Conference on Information Security, ISC 2023 (pp. 3–23). doi:10.1007/978-3-031-49187-0_1

Nominated: 1st Prize of the 2024 IAOS Young Statisticians Prizes Manel Sloken, Jel Vankan and Peter-Paul de Wolf (Statistics Netherlands): From COACH to COACH+: Automating Output Checking with Human-in-the-Loop Link to the interview: https://officialstatistics.com/news-blog/interviews-winners-2024-iaos-young-statisticians-prizes
Speaker: Brinkhof AI Symposium & Internet Thesis Award, 2023. Workshop on responsible machine learning and recommender systems. Link: https://www.brinkhof.com/en/insight/brinkhof-ai-symposium-internetscriptieprijs-winnaar-bekend/
Reviewer: BIAS, PPAI, Normalize, SURE, IR4Good
Contributor: Evaluation Perspectives of Recommender Systems: Driving Research and Education (Dagstuhl Seminar 24211) Contribution to the chapter on Fairness Evaluation, 2024. Link: https://drops.dagstuhl.de/storage/04dagstuhl-reports/volume14/issue05/24211/DagRep.14.5.58/DagRep.14.5.58.pdf
Visiting Researcher: One Week Visit to CEDAR Group at INRIA Saclay (Nov 2024) Title: How to diversify any personalized recommenders? link: https://team.inria.fr/cedar/manel-slokom-how-to-diversify-any-personalized-recommenders/
Speaker: Synthetic Data for Fairness and Privacy (Nov, 2024) Session on Debiasing Data & Assessing Fairness Duo talk – Synthetic Data in Practice: Use cases and innovations from Statistics Netherlands Link: https://syntheticdatafairness.wordpress.com/debiasing/

Publications