Varghese Mathew Vaidyan

17 papers C 1Journal 14Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Dynamic Quantum-Resistant Selective Encryption Approach for Agricultural Sensors With Limited Resources.
IEEE Access
Akshay Kappala, Eric Yocam, Nikil Kayastha, Sai Ram Vodnala, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang
2026 J jnl
A Novel Hybrid Quantum-Classical Path Optimization for Methane Detection Using Remote Quantum Intensity Prediction Models.
IEEE Access
Anjana Rajendra Prasad, Nathaniel Ketema, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, David Werth, Robert L. Buckley, Milinda Rambel Stone, Baby Vennela Kothakonda
2026 J jnl
Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models.
CoRR
Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Paris Kalathas, Yong Wang, Judith Mwakalonge
2026 — conf
Empirical Analysis of AI Confidence Methods in Digital Forensic Standards.
ISDFS
Milinda Rambel Stone, Varghese Mathew Vaidyan
2026 J jnl
H-Node Attack and Defense in Large Language Models.
CoRR
Eric Yocam, Varghese Mathew Vaidyan, Yong Wang
2025 J jnl
A robust adversarial ensemble with causal (feature interaction) interpretations for image classification.
Mach. Learn.
Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Hubig
2025 C conf
Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches.
ICCE
Carson Koball, Yong Wang, Varghese Mathew Vaidyan, John D. Hastings
2025 J jnl
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models.
IEEE Trans. Emerg. Top. Comput. Intell.
Gavin Black, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan
2025 J jnl
From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics.
IEEE Access
Gavin Black, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang
2025 J jnl
On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation.
IEEE Access
Josh Mitchell, Varghese Mathew Vaidyan, Yong Wang
2024 J jnl
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification.
CoRR
Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Christine Hubig
2024 J jnl
Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation.
IEEE Access
Gavin Black, Varghese Mathew Vaidyan, Gurcan Comert
2024 — conf
Exploring LoRaWAN Class B and Class C Devices: Performance Analysis and Parameter Optimization Strategies.
EIT
Aditya Jagatha, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan, Yong Wang
2024 J jnl
Hybrid Quantum Artificial Intelligence Electromagnetic Spectrum Analysis Framework for Transportation System Security.
J. Hardw. Syst. Secur.
Varghese Mathew Vaidyan, Bhaskar Prasad Rimal
2024 J jnl
Machine Learning Security: Threat Model, Attacks, and Challenges.
Computer
Carson Koball, Yong Wang, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan
2024 J jnl
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities.
CoRR
Eric Yocam, Anthony Rizi, Mahesh Kamepalli, Varghese Mathew Vaidyan, Yong Wang, Gurcan Comert
2024 J jnl
SETC: A Vulnerability Telemetry Collection Framework.
CoRR
Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan