Kyle Stein

According to our database, Kyle Stein authored at least 16 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Transductive One-Shot Learning Meet Subspace Decomposition.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh

CoRR, April, 2025

Visual Adaptive Prompting for Compositional Zero-Shot Learning.

Kyle Stein, Arash Golibagh Mahyari, Guillermo A. Francia III, Eman El-Sheikh

CoRR, February, 2025

Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh

Comput. Mater. Continua, 2025

Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection With Few Samples.

Kyle Stein, Guillermo Francia III, Eman El-Sheikh, Andrew Arash Mahyari

IEEE Access, 2025

From Packets to Pixels: A Vision Transformer & Few-Shot Learning Approach to Malicious Network Threat Detection.

Kyle Stein, Aron Price, Justin Donato, Michael Cui, Humberto Ontiveros Garcia, Lanier A. Watkins

Proceedings of the IEEE Military Communications Conference, 2025

Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh

Proceedings of the IEEE Military Communications Conference, 2025

Generative Model-Driven Code Creation and Vulnerability Analysis for Developmental Applications.

Noah Reneau, Kyle Stein, Brian Walker, Seth Vinson, Lanier A. Watkins

Proceedings of the IEEE Military Communications Conference, 2025

Visual Adaptive Prompting for Compositional Zero-Shot Learning.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh

Proceedings of the IEEE/CVF International Conference on Computer Vision, ICCV 2025, 2025

Applying Prompt-Based Mitigation of Gender-Role Bias in Large Language Models for Security.

Kyle Stein, Brandon Blackwell, Ernest Funue, Matthew Dees, Shari Watkins, Lanier A. Watkins

Proceedings of the IEEE Conference on Communications and Network Security, 2025

Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh

Proceedings of the 59th Asilomar Conference on Signals, 2025

Prompt-Conditioned Vision-Language Models for Detecting Unseen Backdoor Images.

Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh

Proceedings of the 59th Asilomar Conference on Signals, 2025

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

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

Proceedings of the 15th IEEE Annual Ubiquitous Computing, 2024

Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach.

Kyle Stein, Andrew Arash Mahyari, Guillermo A. Francia III, Eman El-Sheikh

Proceedings of the IEEE Military Communications Conference, 2024

A Transformer-Based Framework for Payload Malware Detection and Classification.

Kyle Stein, Arash Golibagh Mahyari, Guillermo A. Francia III, Eman El-Sheikh

Proceedings of the IEEE World AI IoT Congress, 2024

2023

Vehicle Controller Area Network Inspection Using Recurrent Neural Networks.

Kyle Stein, Arash Golibagh Mahyari, Eman El-Sheikh

Proceedings of the 2023 International Conference on Advances in Computing Research, 2023