Kyle Stein - RankMe

21 papers Journal 10Unranked 11

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning. IEEECONF Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh
2025	J	`jnl`	Adaptive Additive Parameter Updates of Vision Transformers for Few-Shot Continual Learning. CoRR Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh
2025	—	`conf`	Applying Prompt-Based Mitigation of Gender-Role Bias in Large Language Models for Security. CNS Kyle Stein, Brandon Blackwell, Ernest Funue, Matthew Dees, Shari Watkins, Lanier A. Watkins
2025	—	`conf`	From Packets to Pixels: A Vision Transformer & Few-Shot Learning Approach to Malicious Network Threat Detection. MILCOM Kyle Stein, Aron Price, Justin Donato, Michael Cui, Humberto Ontiveros Garcia, Lanier A. Watkins
2025	—	`conf`	Generative Model-Driven Code Creation and Vulnerability Analysis for Developmental Applications. MILCOM Noah Reneau, Kyle Stein, Brian Walker, Seth Vinson, Lanier A. Watkins
2025	J	`jnl`	Packet Inspection Transformer: A Self-Supervised Journey to Unseen Malware Detection With Few Samples. IEEE Access Kyle Stein, Guillermo Francia III, Eman El-Sheikh, Andrew Arash Mahyari
2025	—	`conf`	Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images. MILCOM Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh
2025	J	`jnl`	Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense. Comput. Mater. Continua Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh
2025	J	`jnl`	Proactive Disentangled Modeling of Trigger-Object Pairings for Backdoor Defense. CoRR Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh
2025	—	`conf`	Prompt-Conditioned Vision-Language Models for Detecting Unseen Backdoor Images. IEEECONF Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh
2025	J	`jnl`	Transductive One-Shot Learning Meet Subspace Decomposition. CoRR Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh
2025	—	`conf`	Visual Adaptive Prompting for Compositional Zero-Shot Learning. ICCVW Kyle Stein, Andrew Arash Mahyari, Guillermo Francia, Eman El-Sheikh
2025	J	`jnl`	Visual Adaptive Prompting for Compositional Zero-Shot Learning. CoRR Kyle Stein, Arash Golibagh Mahyari, Guillermo A. Francia III, Eman El-Sheikh
2024	—	`conf`	A Transformer-Based Framework for Payload Malware Detection and Classification. AIIoT Kyle Stein, Arash Golibagh Mahyari, Guillermo A. Francia III, Eman El-Sheikh
2024	J	`jnl`	A Transformer-Based Framework for Payload Malware Detection and Classification. CoRR Kyle Stein, Arash Golibagh Mahyari, Guillermo Francia III, Eman El-Sheikh
2024	—	`conf`	Eliciting and Measuring Toxic Bias in Human-to-Machine Interactions in Large Language Models. UEMCON Kyle Stein, Alexander Harvey, Aylanna Lopez, Uzma Taj, Shari Watkins, Lanier A. Watkins
2024	J	`jnl`	Proactive Adversarial Defense: Harnessing Prompt Tuning in Vision-Language Models to Detect Unseen Backdoored Images. CoRR Kyle Stein, Andrew Arash Mahyari, Guillermo A. Francia III, Eman El-Sheikh
2024	J	`jnl`	Revolutionizing Payload Inspection: A Self-Supervised Journey to Precision with Few Shots. CoRR Kyle Stein, Arash Golibagh Mahyari, Guillermo Francia III, Eman El-Sheikh
2024	—	`conf`	Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach. MILCOM Kyle Stein, Andrew Arash Mahyari, Guillermo A. Francia III, Eman El-Sheikh
2024	J	`jnl`	Towards Novel Malicious Packet Recognition: A Few-Shot Learning Approach. CoRR Kyle Stein, Andrew Arash Mahyari, Guillermo Francia III, Eman El-Sheikh
2023	—	`conf`	Vehicle Controller Area Network Inspection Using Recurrent Neural Networks. ACR Kyle Stein, Arash Golibagh Mahyari, Eman El-Sheikh