Vehicle Controller Area Network Inspection Using Recurrent Neural Networks. - Kyle Stein; Arash Golibagh Mahyari; Eman El-Sheikh (ACR, 2023)

A Transformer-Based Framework for Payload Malware Detection and Classification. - Kyle Stein; Arash Golibagh Mahyari; Guillermo A. Francia III; Eman El-Sheikh (AIIoT, 2024)

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach. - Kyle Stein; Andrew Arash Mahyari; Guillermo A. Francia III; Eman El-Sheikh (MILCOM, 2024)

Eliciting and Measuring Toxic Bias in Human-to-Machine Interactions in Large Language Models. - Kyle Stein; Alexander Harvey; Aylanna Lopez; Uzma Taj; Shari Watkins; Lanier A. Watkins (UEMCON, 2024)

Revolutionizing Payload Inspection: A Self-Supervised Journey to Precision with Few Shots. - Kyle Stein; Arash Golibagh Mahyari; Guillermo Francia III; Eman El-Sheikh (CoRR, 2024)

Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images. - Kyle Stein; Andrew Arash Mahyari; Guillermo A. Francia III; Eman El-Sheikh (CoRR, 2024)

Visual Adaptive Prompting for Compositional Zero-Shot Learning. - Kyle Stein; Arash Golibagh Mahyari; Guillermo A. Francia III; Eman El-Sheikh (CoRR, 2025)

Transductive One-Shot Learning Meet Subspace Decomposition. - Kyle Stein; Andrew Arash Mahyari; Guillermo Francia III; Eman El-Sheikh (CoRR, 2025)

Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning. - Kyle Stein; Andrew Arash Mahyari; Guillermo Francia III; Eman El-Sheikh (CoRR, 2025)

Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense. - Kyle Stein; Andrew Arash Mahyari; Guillermo Francia III; Eman El-Sheikh (CoRR, 2025)