Varghese Mathew Vaidyan

According to our database, Varghese Mathew Vaidyan authored at least 19 papers between 2024 and 2026.

Collaborative distances:

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

2026

TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis.

Eric Yocam, Varghese Mathew Vaidyan

CoRR, May, 2026

Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards.

Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan

CoRR, May, 2026

H-Node Attack and Defense in Large Language Models.

Eric Yocam, Varghese Mathew Vaidyan, Yong Wang

CoRR, March, 2026

Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models.

Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Paris Kalathas, Yong Wang, Judith Mwakalonge

CoRR, March, 2026

A Novel Hybrid Quantum-Classical Path Optimization for Methane Detection Using Remote Quantum Intensity Prediction Models.

Anjana Rajendra Prasad, Nathaniel Ketema, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, David Werth, Robert L. Buckley, Milinda Rambel Stone, Baby Vennela Kothakonda

IEEE Access, 2026

A Dynamic Quantum-Resistant Selective Encryption Approach for Agricultural Sensors With Limited Resources.

Akshay Kappala, Eric Yocam, Nikil Kayastha, Sai Ram Vodnala, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang

IEEE Access, 2026

Empirical Analysis of AI Confidence Methods in Digital Forensic Standards.

Milinda Rambel Stone, Varghese Mathew Vaidyan

Proceedings of the 2026 14th International Symposium on Digital Forensics and Security (ISDFS), 2026

2025

A robust adversarial ensemble with causal (feature interaction) interpretations for image classification.

Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Hubig

Mach. Learn., December, 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., February, 2025

On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation.

Josh Mitchell, Varghese Mathew Vaidyan, Yong Wang

IEEE Access, 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

IEEE Access, 2025

Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches.

Carson Koball, Yong Wang, Varghese Mathew Vaidyan, John D. Hastings

Proceedings of the IEEE International Conference on Consumer Electronics, 2025

2024

Machine Learning Security: Threat Model, Attacks, and Challenges.

Carson Koball, Yong Wang, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan

Computer, October, 2024

Hybrid Quantum Artificial Intelligence Electromagnetic Spectrum Analysis Framework for Transportation System Security.

Varghese Mathew Vaidyan, Bhaskar Prasad Rimal

J. Hardw. Syst. Secur., March, 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

Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities.

Eric Yocam, Anthony Rizi, Mahesh Kamepalli, Varghese Mathew Vaidyan, Yong Wang, Gurcan Comert

CoRR, 2024

SETC: A Vulnerability Telemetry Collection Framework.

Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan

CoRR, 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

Exploring LoRaWAN Class B and Class C Devices: Performance Analysis and Parameter Optimization Strategies.

Aditya Jagatha, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan, Yong Wang

Proceedings of the IEEE International Conference on Electro Information Technology, 2024