Mohammad Meymani
According to our database1,
Mohammad Meymani authored at least 12 papers
between 2025 and 2026.
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Bibliography
2026
Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods.
CoRR, May, 2026
CoRR, April, 2026
CoRR, April, 2026
Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models.
CoRR, April, 2026
Divided We Fall: Defending against adversarial attacks via soft-gated fractional mixture-of-experts with randomized adversarial training.
Inf. Sci., 2026
2025
Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation.
CoRR, December, 2025
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior?
CoRR, November, 2025
XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security.
CoRR, October, 2025
Large Language Models (LLMs) for Source Code Analysis: applications, models and datasets.
CoRR, March, 2025
NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description.
Proceedings of the International Conference on Machine Learning and Applications, 2025
SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining.
Proceedings of the IEEE International Conference on Data Mining, 2025