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cs.LG2026
SoK: Challenges in Tabular Membership Inference Attacks
Cristina Pêra, Tânia Carvalho, Maxime Cordy +1
Membership Inference Attacks (MIAs) are currently a dominant approach for evaluating privacy in machine learning applications. Despite their significance in identifying records bel…
cs.LG2024
Automated Privacy-Preserving Techniques via Meta-Learning
Tânia Carvalho, Nuno Moniz, Luís 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…
cs.LG2024
Synthetic Data Outliers: Navigating Identity Disclosure
Carolina Trindade, Luís 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…