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Found 2 papers, 1 papers with code
RAGUEL: Recourse-Aware Group Unfairness Elimination
While machine learning and ranking-based systems are in widespread use for sensitive decision-making processes (e. g., determining job candidates, assigning credit scores), they are rife with concerns over unintended biases in their outcomes, which makes algorithmic fairness (e. g., demographic parity, equal opportunity) an objective of interest.
GeoPointGAN: Synthetic Spatial Data with Local Label Differential Privacy
We introduce GeoPointGAN, a novel GAN-based solution for generating synthetic spatial point datasets with high utility and strong individual level privacy guarantees.
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