Training Variational Autoencoders for Population Synthesis in Public Health with Missing Data. - Nathan Blackthorn; Andrew Arash Mahyari; Ashok Srinivasan (IEEE Big Data, 2024)

Harnessing the Power of LLMs in Source Code Vulnerability Detection. - Andrew Arash Mahyari (MILCOM, 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)

Toward a Real-Time Digital Twin Framework for Infection Mitigation During Air Travel. - Ashok Srinivasan; Satkkeerthi Sriram; Sirish Namilae; Andrew Arash Mahyari (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)

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)