1 citations · 1 across the 2 of their papers we have counts for
3 papers
A Critical Look into Threshold Homomorphic Encryption for Private Average Aggregation
Miguel Morona-MÃnguez, Alberto Pedrouzo-Ulloa, Fernando Pérez-González
Threshold Homomorphic Encryption (Threshold HE) is a good fit for implementing private federated average aggregation, a key operation in Federated Learning (FL). Despite its potent…
BlackCATT: Black-box Collusion Aware Traitor Tracing in Federated Learning
Elena RodrÃguez-Lois, Fabio Brau, Maura Pintor +2
Federated Learning has been popularized in recent years for applications involving personal or sensitive data, as it allows the collaborative training of machine learning models th…
Exploring Federated Learning Dynamics for Black-and-White-Box DNN Traitor Tracing
Elena Rodriguez-Lois, Fernando Perez-Gonzalez
As deep learning applications become more prevalent, the need for extensive training examples raises concerns for sensitive, personal, or proprietary data. To overcome this, Federa…