most citedStudying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

31 citations · 31 across the 2 of their papers we have counts for

collaborators

2 papers

cs.SI2024

Epidemics on Networks

Jan Kreischer, Adrian Iten, Astrid Jehoul

Despite centuries of work on containment and mitigation strategies, infectious diseases are still a major problem facing humanity. This work is concerned with simulating heterogene…

cs.CR2022★ 31 cited

Studying the Robustness of Anti-adversarial Federated Learning Models Detecting Cyberattacks in IoT Spectrum Sensors

Pedro Miguel Sánchez Sánchez, Alberto Huertas Celdrán, Timo Schenk +4

Device fingerprinting combined with Machine and Deep Learning (ML/DL) report promising performance when detecting cyberattacks targeting data managed by resource-constrained spectr…