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eess.SP2025
Secure Over-the-Air Computation Against Multiple Eavesdroppers using Correlated Artificial Noise
David Nordlund, Luis Maßny, Antonia Wachter-Zeh +2
Over-the-air (OtA) computation enables scalable analog aggregation by exploiting the superposition property of wireless channels, making it an attractive joint communication and co…
cs.LG2025
ProDiGy: Proximity- and Dissimilarity-Based Byzantine-Robust Federated Learning
Sena Ergisi, Luis Maßny, 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 Maßny, 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…