7 citations · 7 across the 3 of their papers we have counts for
3 papers
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.CR2022★ 7 cited
Survey on Privacy-Preserving Techniques for Data Publishing
Tânia Carvalho, Nuno Moniz, Pedro Faria +1
The exponential growth of collected, processed, and shared microdata has given rise to concerns about individuals' privacy. As a result, laws and regulations have emerged to contro…
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…