Evaluating Deep Learning-based NIDS in Adversarial Settings. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (ICISSP, 2022)

Securing Supply Chain: A Comprehensive Blockchain-based Framework and Risk Assessment. - Leila Rashidi; Windhya Hansinie Rankothge; Hesamodin Mohammadian; Rashid Hussain Khokhar; Brian Frei; Shawn Ellis; Lago Freitas; Ali Akbar Ghorbani (PST, 2023)

Evaluating Label Flipping Attack in Deep Learning-Based NIDS. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (SECRYPT, 2023)

A gradient-based approach for adversarial attack on deep learning-based network intrusion detection systems. - Hesamodin Mohammadian; Ali A. Ghorbani 001; Arash Habibi Lashkari (Appl. Soft Comput., 2023)

Poisoning and Evasion: Deep Learning-Based NIDS under Adversarial Attacks. - Hesamodin Mohammadian; Arash Habibi Lashkari; Ali A. Ghorbani 001 (PST, 2024)

Privacy-Preserving for Images in Satellite Communications: A Comprehensive Review of Chaos-Based Encryption. - Farrukh Bin Rashid; Windhya Hansinie Rankothge; Somayeh Sadeghi; Hesamodin Mohammadian; Ali A. Ghorbani 001 (CoRR, 2024)

Explainable Malware Detection through Integrated Graph Reduction and Learning Techniques. - Hesamodin Mohammadian; Griffin Higgins; Samuel Ansong; Roozbeh Razavi-Far; Ali A. Ghorbani 001 (CoRR, 2024)

Role of cybersecurity for a secure global communication eco-system: A comprehensive cyber risk assessment for satellite communications. - Samuel Ansong; Windhya Rankothge; Somayeh Sadeghi; Hesamodin Mohammadian; Farrukh Bin Rashid; Ali A. Ghorbani 001 (Comput. Secur., 2025)

Recent Advances in Malware Detection: Graph Learning and Explainability. - Hossein Shokouhi-Nejad; Roozbeh Razavi-Far; Hesamodin Mohammadian; Mahdi Rabbani; Samuel Ansong; Griffin Higgins; Ali A. Ghorbani 001 (CoRR, 2025)

Large Language Model (LLM) for Software Security: Code Analysis, Malware Analysis, Reverse Engineering. - Hamed Jelodar; Samita Bai; Parisa Hamedi; Hesamodin Mohammadian; Roozbeh Razavi-Far; Ali A. Ghorbani 001 (CoRR, 2025)

On the Consistency of GNN Explanations for Malware Detection. - Hossein Shokouhi-Nejad; Griffin Higgins; Roozbeh Razavi-Far; Hesamodin Mohammadian; Ali Akbar Ghorbani (CoRR, 2025)