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ORCIDVarghese Mathew Vaidyan
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2020 – today
- 2026
[j9]Akshay Kappala, Eric Yocam
, Nikil Kayastha, Sai Ram Vodnala, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang:
A Dynamic Quantum-Resistant Selective Encryption Approach for Agricultural Sensors With Limited Resources. IEEE Access 14: 34845-34862 (2026)- [j8]Anjana Rajendra Prasad, Nathaniel Ketema, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, David Werth, Robert L. Buckley, Milinda Rambel Stone, Baby Vennela Kothakonda:
A Novel Hybrid Quantum-Classical Path Optimization for Methane Detection Using Remote Quantum Intensity Prediction Models. IEEE Access 14: 43051-43066 (2026) - [c3]Milinda Rambel Stone, Varghese Mathew Vaidyan:
Empirical Analysis of AI Confidence Methods in Digital Forensic Standards. ISDFS 2026: 1-6 - [i10]Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Paris Kalathas, Yong Wang, Judith Mwakalonge:
Adaptive Activation Cancellation for Hallucination Mitigation in Large Language Models. CoRR abs/2603.10195 (2026) - [i9]Eric Yocam, Varghese Mathew Vaidyan, Yong Wang:
H-Node Attack and Defense in Large Language Models. CoRR abs/2603.26045 (2026) - [i8]Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan:
Beyond Collection: Measuring the Detection Efficacy of Modern Security Logging Standards. CoRR abs/2605.05531 (2026) - [i7]Eric Yocam, Varghese Mathew Vaidyan:
TriSweep: A Four-Drone Swarm Framework for Electromagnetic Side-Channel Analysis. CoRR abs/2605.22709 (2026) - [i6]Walther A. Del Orbe, John D. Hastings, Varghese Mathew Vaidyan:
Context-Based Adversarial Attacks on AI Code Generators: Vulnerability Analysis and Implications. CoRR abs/2606.10945 (2026) - [i5]Stephanie Polczynski, John D. Hastings, Varghese Mathew Vaidyan, Kyle Korman:
Bridging the Smart City Cybersecurity Data Gap Through AI-Driven Synthetic Dataset Generation. CoRR abs/2606.12225 (2026) - [i4]Eric Yocam, Varghese Mathew Vaidyan, Micah Flack, Gurcan Comert, Judith Mwakalonge:
Side-Channel Attacks Bypass Protection in 3D Printers. CoRR abs/2606.13952 (2026) - 2025
- [j7]Gavin Black, Eric Yocam, Varghese Mathew Vaidyan, Gurcan Comert, Yong Wang:
From LLMs to Randomness: Analyzing Program Input Efficacy With Resource and Language Metrics. IEEE Access 13: 87928-87940 (2025) - [j6]Josh Mitchell, Varghese Mathew Vaidyan, Yong Wang:
On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation. IEEE Access 13: 142990-142997 (2025) - [j5]Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Hubig:
A robust adversarial ensemble with causal (feature interaction) interpretations for image classification. Mach. Learn. 114(12): 291 (2025) - [j4]Gavin Black, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan:
Balancing Security and Correctness in Code Generation: An Empirical Study on Commercial Large Language Models. IEEE Trans. Emerg. Top. Comput. Intell. 9(1): 419-430 (2025) - [c2]Carson Koball, Yong Wang, Varghese Mathew Vaidyan, John D. Hastings:
Assessing Evasion Attacks on Tree-Based Machine Learning Models: Supervised vs. Unsupervised Approaches. ICCE 2025: 1-6 - 2024
- [j3]Gavin Black, Varghese Mathew Vaidyan, Gurcan Comert:
Evaluating Large Language Models for Enhanced Fuzzing: An Analysis Framework for LLM-Driven Seed Generation. IEEE Access 12: 156065-156081 (2024) - [j2]Carson Koball, Yong Wang, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan:
Machine Learning Security: Threat Model, Attacks, and Challenges. Computer 57(10): 26-35 (2024) - [j1]Varghese Mathew Vaidyan, Bhaskar Prasad Rimal:
Hybrid Quantum Artificial Intelligence Electromagnetic Spectrum Analysis Framework for Transportation System Security. J. Hardw. Syst. Secur. 8(1): 1-11 (2024) - [c1]Aditya Jagatha, Bhaskar Prasad Rimal, Varghese Mathew Vaidyan, Yong Wang:
Exploring LoRaWAN Class B and Class C Devices: Performance Analysis and Parameter Optimization Strategies. EIT 2024: 194-201 - [i3]Ryan Holeman, John D. Hastings, Varghese Mathew Vaidyan:
SETC: A Vulnerability Telemetry Collection Framework. CoRR abs/2406.05942 (2024) - [i2]Eric Yocam, Anthony Rizi, Mahesh Kamepalli, Varghese Mathew Vaidyan, Yong Wang, Gurcan Comert:
Quantum Adversarial Machine Learning and Defense Strategies: Challenges and Opportunities. CoRR abs/2412.12373 (2024) - [i1]Chunheng Zhao, Pierluigi Pisu, Gurcan Comert, Negash Begashaw, Varghese Mathew Vaidyan, Nina Christine Hubig:
A Robust Adversarial Ensemble with Causal (Feature Interaction) Interpretations for Image Classification. CoRR abs/2412.20025 (2024)
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