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Secure Visual Data Processing via Federated Learning
As the demand for privacy in visual data management grows, safeguarding sensitive information has become a critical challenge. This …
Pedro Santos, Tânia Carvalho, Filipe Magalhães, Luís Antunes
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Developing Project-Specific Consent Documents: A Registered Report for a Multistep Approach Using LLMs
Within the scope of clinical trials, developing participant information sheets and informed consent forms is a complex task that …
Filipa Lopes, Carolina Trindade, Tânia Carvalho, Maria Almeida, Ana Sofia Carvalho
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Synthetic Data Outliers: Navigating Identity Disclosure
Multiple synthetic data generation models have emerged, among which deep learning models have become the vanguard due to their ability …
Carolina Trindade, Luís Antunes, Tânia Carvalho, Nuno Moniz
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Developing Project-Specific Informed Consent Forms: A Multi-Step Approach within the REPO4EU Framework
We present the development of a methodology enabling the use of Large Language Models (LLMs) to assist in the creation of information …
Filipa Lopes, Carolina Trindade, Tânia Carvalho, Maria Almeida, Ana Sofia Carvalho
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A Three-Way Knot: Privacy, Fairness, and Predictive Performance Dynamics
As the frontier of machine learning applications moves further into human interaction, multiple concerns arise regarding automated …
Tânia Carvalho, Nuno Moniz, Luís Antunes
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The Compromise of Data Privacy in Predictive Performance
Privacy-preservation has become an essential concern in many data mining applications since the emergence of legal obligations to …
Tânia Carvalho, Nuno Moniz
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