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Differentially-private data synthetisation for efficient re-identification risk control
We can protect user data privacy via many approaches, such as statistical transformation or generative models. However, each of them …
Tânia Carvalho, Nuno Moniz, Luís Antunes, Nitesh Chawla
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Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach
The Covid-19 pandemic has affected the world at multiple levels. Data sharing was pivotal for advancing research to understand the …
Tânia Carvalho, Luís Antunes, Cristina Costa, Nuno Moniz
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Towards a Data Privacy-Predictive Performance Trade-off
Machine learning is increasingly used in the most diverse applications and domains, whether in healthcare, to predict pathologies, or …
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
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Survey on Privacy-Preserving Techniques for Data Publishing
The exponential growth of collected, processed, and shared microdata has given rise to concerns about individuals’ privacy. As a …
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
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Fundamental privacy rights in a pandemic state
Faced with the emergence of the Covid-19 pandemic, and to better understand and contain the disease’s spread, health organisations …
Tânia Carvalho, Nuno Moniz, Pedro Faria, Luís Antunes
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