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• LOCALINTEL: Generating Organizational Threat Intelligence from Global and Local Cyber Knowledge
  2024 · 6 citations
• An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
  2024 · 5 citations
• Deep Learning-Based Speech and Vision Synthesis to Improve Phishing Attack Detection through a Multi-layer Adaptive Framework
  2024 · 5 citations
• Use of Graph Neural Networks in Aiding Defensive Cyber Operations
  2024 · 4 citations
• An investigation into the performances of the Current state-of-the-art Naive Bayes, Non-Bayesian and Deep Learning Based Classifier for Phishing Detection: A Survey
  2024 · 4 citations
• Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
  2026
• MAD-OOD: A Deep Learning Cluster-Driven Framework for an Out-of-Distribution Malware Detection and Classification
  2025
• Adapting Under Fire: Multi-Agent Reinforcement Learning for Adversarial Drift in Network Security
  2025
• Evaluating Large Language Models for Phishing Detection, Self-Consistency, Faithfulness, and Explainability
  2025
• Semantic-Aware Contrastive Fine-Tuning: Boosting Multimodal Malware Classification with Discriminative Embeddings
  2025