Sébastien Gambs

Taming the Triangle: On the Interplays Between Fairness, Interpretability, and Privacy in Machine Learning

2025 · Computational Intelligence

ABSTRACT Machine learning techniques are increasingly used for high‐stakes decision‐making, such as college admissions, loan attribution, or recidivism prediction. Thus, it is crucial to ensure that the models learnt can be audited or understood by …

Heterogeneous Differential Privacy

2017 · Journal of Privacy and Confidentiality

The massive collection of personal data by personalization systems has rendered the preservation of privacy of individuals more and more difficult. Most of the proposed approaches to preserve privacy in personalization systems usually address this …