research
∙
08/29/2023
Probabilistic Dataset Reconstruction from Interpretable Models
Interpretability is often pointed out as a key requirement for trustwort...
share
research
∙
04/11/2023
Learning Optimal Fair Scoring Systems for Multi-Class Classification
Machine Learning models are increasingly used for decision making, in pa...
research
∙
03/08/2023
Learning Hybrid Interpretable Models: Theory, Taxonomy, and Methods
A hybrid model involves the cooperation of an interpretable model and a ...
research
∙
09/02/2022
Exploiting Fairness to Enhance Sensitive Attributes Reconstruction
In recent years, a growing body of work has emerged on how to learn mach...
research
∙
09/09/2019
