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cs.LG2023
A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
Tânia Carvalho, Nuno Moniz, Luís Antunes
As the frontier of machine learning applications moves further into human interaction, multiple concerns arise regarding automated decision-making. Two of the most critical issues…
cs.LG2022
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
Tânia Carvalho, Nuno Moniz, Luís Antunes +1
Protecting user data privacy can be achieved via many methods, from statistical transformations to generative models. However, all of them have critical drawbacks. For example, cre…
cs.LG2022
Towards a Data Privacy-Predictive Performance Trade-off
Tânia Carvalho, Nuno Moniz, Pedro Faria +1
Machine learning is increasingly used in the most diverse applications and domains, whether in healthcare, to predict pathologies, or in the financial sector to detect fraud. One o…