The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning
Published in Big Data and Cognitive Computing, 2026
This study analyzes privacy risks in federated generative settings through a two-stage membership inference perspective, connecting geometric structure with attack behavior.
Recommended citation: Arroyo Galende, B., Apellaniz, P. A., Almodovar, A., Uribe, S., Alvarez, F., & Parras, J. (2026). The Geometry of Privacy: A Two-Stage Analysis of Generative Membership Inference in Federated Learning. Big Data and Cognitive Computing, 10(5), 163.