Varghese Mathew Vaidyan

According to our database, Varghese Mathew Vaidyan authored at least 11 papers between 2024 and 2025.

Collaborative distances:

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

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