3 papers
eess.SP2025
Secure Over-the-Air Computation Against Multiple Eavesdroppers using Correlated Artificial Noise
David Nordlund, Luis MaÃny, Antonia Wachter-Zeh +2
In the era of the Internet of Things and massive connectivity, many engineering applications, such as sensor fusion and federated edge learning, rely on efficient data aggregation…
cs.LG2025
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
Sena Ergisi, Luis MaÃny, Rawad Bitar
Federated Learning (FL) emerged as a widely studied paradigm for distributed learning. Despite its many advantages, FL remains vulnerable to adversarial attacks, especially under d…
cs.IT2025
Between Close Enough to Reveal and Far Enough to Protect: a New Privacy Region for Correlated Data
Luis MaÃny, Rawad Bitar, Fangwei Ye +1
When users make personal privacy choices, correlation between their data can cause inadvertent leakage about users who do not want to share their data by other users sharing their…