3 papers
cs.CR2026
FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
Numan Halit Guldemir, Oluwafemi Olukoya, Jesús Martínez-del-Rincón
Malware classification models often suffer performance degradation under concept drift due to evolving threat landscapes and the emergence of novel malware families. This paper pre…
cs.LG2025
Privacy in Federated Learning with Spiking Neural Networks
Dogukan Aksu, Jesus Martinez del Rincon, Ihsen Alouani
Spiking neural networks (SNNs) have emerged as prominent candidates for embedded and edge AI. Their inherent low power consumption makes them far more efficient than conventional A…
cs.CR2025
Stealth by Conformity: Evading Robust Aggregation through Adaptive Poisoning
Ryan McGaughey, Jesus Martinez del Rincon, Ihsen Alouani
Federated Learning (FL) is a distributed learning paradigm designed to address privacy concerns. However, FL is vulnerable to poisoning attacks, where Byzantine clients compromise…