Kyle Stein, Ph.D.
Publications

Research publications.

Work spanning cybersecurity, continual and few-shot learning, transformer models, computer vision, vision-language models, and adversarial defense.

2026

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

Kyle Stein, Guillermo Francia III, Eman El-Sheikh, Hossain Shahriar

arXiv preprint · arXiv:2609.10746

Combining hardware, orbital, and radio-frequency telemetry to detect satellite cyberattacks across time.

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Hierarchical multimodal Transformer: hardware, orbital, and RF features are fused for each observation, then a temporal Transformer models the sequence before predicting the cyberattack class.
Figure 3. A subsystem Transformer combines the three telemetry sources; a temporal Transformer tracks how the satellite state evolves. Stein et al., 2026 · CC BY 4.0.