Mohammad Meymani

According to our database1, Mohammad Meymani authored at least 12 papers between 2025 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
Quantum Adversarial Machine Learning: From Classical Adaptations to Quantum-Native Methods.
CoRR, May, 2026

Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval.
CoRR, April, 2026

LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering.
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
Defending against adversarial attacks using mixture of experts.
CoRR, December, 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


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