4 papers
Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach
Tânia Carvalho, LuÃs Antunes, Cristina Costa +1
The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the underlying causes and implement effective contain…
Automated Privacy-Preserving Techniques via Meta-Learning
Tânia Carvalho, Nuno Moniz, LuÃs Antunes
Sharing private data for learning tasks is pivotal for transparent and secure machine learning applications. Many privacy-preserving techniques have been proposed for this task aim…
Synthetic Data Outliers: Navigating Identity Disclosure
Carolina Trindade, LuÃs Antunes, Tânia Carvalho +1
Multiple synthetic data generation models have emerged, among which deep learning models have become the vanguard due to their ability to capture the underlying characteristics of…
Differentially-Private Data Synthetisation for Efficient Re-Identification Risk Control
Tânia Carvalho, Nuno Moniz, LuÃs 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…