Exploring LoRaWAN Class B and Class C Devices: Performance Analysis and Parameter Optimization Strategies. - Aditya Jagatha; Bhaskar Prasad Rimal; Varghese Mathew Vaidyan; Yong Wang 045 (EIT, 2024)

Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation. - Gavin Black; Varghese Mathew Vaidyan; Gurcan Comert (IEEE Access, 2024)

SETC: A Vulnerability Telemetry Collection Framework. - Ryan Holeman; John D. Hastings; Varghese Mathew Vaidyan (CoRR, 2024)

Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities. - Eric Yocam; Anthony Rizi; Mahesh Kamepalli; Varghese Mathew Vaidyan; Yong Wang 045; Gurcan Comert (CoRR, 2024)

A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification. - Chunheng Zhao; Pierluigi Pisu; Gurcan Comert; Negash Begashaw; Varghese Mathew Vaidyan; Nina Christine Hubig (CoRR, 2024)

Hybrid Quantum Artificial Intelligence Electromagnetic Spectrum Analysis Framework for Transportation System Security. - Varghese Mathew Vaidyan; Bhaskar Prasad Rimal (J. Hardw. Syst. Secur., 2024)

Machine Learning Security: Threat Model, Attacks, and Challenges. - Carson Koball; Yong Wang 045; Bhaskar Prasad Rimal; Varghese Mathew Vaidyan (Computer, 2024)

Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches. - Carson Koball; Yong Wang 045; Varghese Mathew Vaidyan; John D. Hastings (ICCE, 2025)

From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics. - Gavin Black; Eric Yocam; Varghese Mathew Vaidyan; Gurcan Comert; Yong Wang 045 (IEEE Access, 2025)

Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models. - Gavin Black; Bhaskar Prasad Rimal; Varghese Mathew Vaidyan (IEEE Trans. Emerg. Top. Comput. Intell., 2025)