Author

Kyle Stein

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Preprint Aug 2026

Adapter-Based Few-Shot Continual Learning for Malicious Packet Recognition

The continual evolution of malware variants necessitates detection systems that can adapt to new threats without retraining from scratch. However, continually updating models on new data often leads to catastrophic forgetting, where previously learned knowledge is overwritten. While continual learning has been increasi...

Kyle Stein, Guillermo A. Francia, Iii Eman El-Sheikh et al. · 0 citations

#artificial intelligence Preprint Sep 2026

Temporal and Multimodal Deep Learning for Cyberattack Detection in LEO Satellite Systems

This work investigates structured learning architectures that preserve hardware, orbital, and RF information, including a Subsystem-Fusion MLP and a hierarchical multimodal Transformer that models both cross-subsystem interactions and temporal evolution and demonstrates the value of structured multimodal modeling and r...

Kyle Stein, Guillermo A. Francia, Eman El-Sheikh et al. · 0 citations