3 papers
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.SI2025
Privacy-Driven Network Data for Smart Cities
Tânia Carvalho, José Barata, Henish Balu +3
A smart city is essential for sustainable urban development. In addition to citizen engagement, a smart city enables connected infrastructure, data-driven decision making and smart…
cs.CV2025
Secure Visual Data Processing via Federated Learning
Pedro Santos, Tânia Carvalho, Filipe Magalhães +1
As the demand for privacy in visual data management grows, safeguarding sensitive information has become a critical challenge. This paper addresses the need for privacy-preserving…