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