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Mohammad Meymani
Observed name:
Meymani, Mohammad
Institutions:
University of New Brunswick,
Canadian Institute for Cybersecurity
Observed institutions:
University of New Brunswick,
Canadian Institute for Cybersecurity
ORCID:
0009-0005-3432-0699
Observed ORCID:
0009-0005-3432-0699
OpenAlex ID:
A5119912707
Integrating graphs, large language models, and agents: Reasoning and retrieval
2026
·
Hamed Jelodar
, Samita Bai
, et al.
·
Information Fusion
·
3
Quantum adversarial machine learning: from classical adaptations to quantum-native methods
2026
·
Roozbeh Razavi-Far
, Mohammad Meymani
, et al.
·
Artificial Intelligence Review
·
3
NLD-LLM: A systematic framework for evaluating small language transformer models on natural language description
2025
·
Hamed Jelodar
, Mohammad Meymani
, et al.
·
International Conference on Machine Learning and Applications
·
2
PDF
Recent Advances in Adversarial Attacks on Model Utility, Privacy, and Explainability: A Comprehensive Survey
2026
·
Arash Vashagh
, Roozbeh Razavi-Far
, et al.
·
1
PDF
Can Small GenAI Language Models Rival Large Language Models in Understanding Application Behavior?
2025
·
Meymani, Mohammad
, Jelodar, Hamed
, et al.
·
arXiv (Cornell University)
·
1
PDF
SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining
2025
·
Hamed Jelodar
, Mohammad Meymani
, et al.
·
IEEE ... International Conference on Data Mining workshops
·
1
Defending against adversarial attacks using mixture of experts
2025
·
Mohammad Meymani
, Roozbeh Razavi-Far
·
SSRN Electronic Journal
·
1
KAN-Robust-Bench: A Benchmark for Evaluating the Robustness of Kolmogorov-Arnold Networks
2026
·
Meymani, Mohammad
, Razavi-Far, Roozbeh
·
arXiv (Cornell University)
PDF
Adversarial Learning in the Quantum Era: Attack Surfaces Evolution from Traditional ML to Agentic AI
2026
·
Mohammad Meymani
, Ali Fatahi
, et al.
·
Preprints.org
Defense Against Adversarial Attacks: Foundations, Strategies, and Future Directions
2026
·
Mohammad Meymani
, Roozbeh Razavi-Far
, et al.
·
Preprints.org
Asm2Src-LLMEval: A GenAI Pipeline for Multi-Metric Assessment of LLMs in Program Translation and Analysis
2026
·
Parisa Hamedi
, Hamed Jelodar
, et al.
·
IEEE Conference on Artificial Intelligence (CAI)
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval
2026
·
Jelodar, Hamed
, Bai, Samita
, et al.
·
arXiv (Cornell University)
Integrating Graphs, Large Language Models, and Agents: Reasoning and Retrieval
2026
·
Jelodar, Hamed
, Bai, Samita
, et al.
·
arXiv (Cornell University)
PDF
LLM4CodeRE: Generative AI for Code Decompilation Analysis and Reverse Engineering
2026
·
Jelodar, Hamed
, Bai, Samita
, et al.
·
arXiv (Cornell University)
PDF
Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models
2026
·
Bai, Samita
, Jelodar, Hamed
, et al.
·
arXiv (Cornell University)
PDF
Divided We Fall: Defending against adversarial attacks via soft-gated fractional mixture-of-experts with randomized adversarial training
2026
·
Mohammad Meymani
, Roozbeh Razavi-Far
·
Information Sciences
Divided We Fall: Defending Against Adversarial Attacks via Soft-Gated Fractional Mixture-of-Experts with Randomized Adversarial Training
2025
·
Meymani, Mohammad
, Razavi-Far, Roozbeh
·
arXiv (Cornell University)
Divided We Fall: Defending Against Adversarial Attacks via Soft-Gated Fractional Mixture-of-Experts with Randomized Adversarial Training
2025
·
Meymani, Mohammad
, Razavi-Far, Roozbeh
·
arXiv (Cornell University)
PDF
Asm2SrcEval: Evaluating Large Language Models for Assembly-to-Source Code Translation
2025
·
Hamedi, Parisa
, Jelodar, Hamed
, et al.
·
arXiv (Cornell University)
PDF
SBAN: A Framework & Multi-Dimensional Dataset for Large Language Model Pre-Training and Software Code Mining
2025
·
Hamed Jelodar
, Mohammad Meymani
, et al.
·
Proceedings
XGen-Q: An Explainable Domain-Adaptive LLM Framework with Retrieval-Augmented Generation for Software Security
2025
·
Jelodar, Hamed
, Meymani, Mohammad
, et al.
·
arXiv (Cornell University)
PDF
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Works count:
23
Citation count:
12
H-index:
2
I10-index:
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