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ORCIDHesamodin Mohammadian
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2020 – today
- 2025
[j4]Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani:
Explainable malware detection through integrated graph reduction and learning techniques. Big Data Res. 41: 100555 (2025)- [j3]Samuel Ansong
, Windhya Rankothge, Somayeh Sadeghi, Hesamodin Mohammadian, Farrukh Bin Rashid, Ali A. Ghorbani:
Role of cybersecurity for a secure global communication eco-system: A comprehensive cyber risk assessment for satellite communications. Comput. Secur. 149: 104156 (2025) - [j2]Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali A. Ghorbani:
On the consistency of GNN explanations for malware detection. Inf. Sci. 721: 122603 (2025) - [i5]Hossein Shokouhi-Nejad, Roozbeh Razavi-Far, Hesamodin Mohammadian, Mahdi Rabbani, Samuel Ansong, Griffin Higgins, Ali A. Ghorbani:
Recent Advances in Malware Detection: Graph Learning and Explainability. CoRR abs/2502.10556 (2025) - [i4]Hamed Jelodar, Samita Bai, Parisa Hamedi, Hesamodin Mohammadian, Roozbeh Razavi-Far, Ali A. Ghorbani:
Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering. CoRR abs/2504.07137 (2025) - [i3]Hossein Shokouhi-Nejad, Griffin Higgins, Roozbeh Razavi-Far, Hesamodin Mohammadian, Ali Akbar Ghorbani:
On the Consistency of GNN Explanations for Malware Detection. CoRR abs/2504.16316 (2025) - 2024
- [c4]Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani:
Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks. PST 2024: 1-9 - [i2]Farrukh Bin Rashid, Windhya Hansinie Rankothge, Somayeh Sadeghi, Hesamodin Mohammadian, Ali A. Ghorbani:
Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption. CoRR abs/2410.21177 (2024) - [i1]Hesamodin Mohammadian, Griffin Higgins, Samuel Ansong, Roozbeh Razavi-Far, Ali A. Ghorbani:
Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques. CoRR abs/2412.03634 (2024) - 2023
- [j1]Hesamodin Mohammadian, Ali A. Ghorbani, Arash Habibi Lashkari:
A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems. Appl. Soft Comput. 137: 110173 (2023) - [c3]Leila Rashidi, Windhya Hansinie Rankothge, Hesamodin Mohammadian, Rashid Hussain Khokhar, Brian Frei, Shawn Ellis, Lago Freitas, Ali Akbar Ghorbani:
Securing Supply Chain: A Comprehensive Blockchain-based Framework and Risk Assessment. PST 2023: 1-10 - [c2]Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani:
Evaluating Label Flipping Attack in Deep Learning-Based NIDS. SECRYPT 2023: 597-603 - 2022
- [c1]Hesamodin Mohammadian, Arash Habibi Lashkari, Ali A. Ghorbani:
Evaluating Deep Learning-based NIDS in Adversarial Settings. ICISSP 2022: 435-444
Coauthor Index
aka: Ali Akbar Ghorbani
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