The Compromise of Data Privacy in Predictive Performance. - Tânia Carvalho; Nuno Moniz (IDA, 2021)

Survey on Privacy-Preserving Techniques for Data Publishing. - Tânia Carvalho; Nuno Moniz; Pedro Faria; Luís Antunes 002 (CoRR, 2022)

Privacy-Preserving Data Synthetisation for Secure Information Sharing. - Tânia Carvalho; Nuno Moniz; Pedro Faria; Luís Antunes 002; Nitesh V. Chawla (CoRR, 2022)

A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics. - Tânia Carvalho; Nuno Moniz; Luis Antunes 002 (EPIA (1), 2023)

Survey on Privacy-Preserving Techniques for Microdata Publication. - Tânia Carvalho; Nuno Moniz; Pedro Faria; Luís Antunes 002 (ACM Comput. Surv., 2023)

Towards a data privacy-predictive performance trade-off. - Tânia Carvalho; Nuno Moniz; Pedro Faria; Luís Antunes 002 (Expert Syst. Appl., 2023)

Synthetic Data Outliers: Navigating Identity Disclosure. - Carolina Trindade; Luis Antunes 002; Tânia Carvalho; Nuno Moniz (PSD, 2024)

Automated Privacy-Preserving Techniques via Meta-Learning. - Tânia Carvalho; Nuno Moniz; Luís Antunes 002 (CoRR, 2024)

Empowering Open Data Sharing for Social Good: A Privacy-Aware Approach. - Tânia Carvalho; Luís Antunes 002; Cristina Costa; Nuno Moniz (CoRR, 2024)

Secure Visual Data Processing via Federated Learning. - Pedro Santos; Tânia Carvalho; Filipe Magalhães; Luís Antunes 002 (ICISSP (2), 2025)

Differentially-private data synthetisation for efficient re-identification risk control. - Tânia Carvalho; Nuno Moniz; Luis Antunes 002; Nitesh V. Chawla (Mach. Learn., 2025)