Nhóm nghiên cứu

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Federated Learning, XAI, Intrusion Detection System, Malware Detection

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Web application security ML/DL for Security Generative Adversarial Networks (GANs)

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Adversarial learning/AI security (GANs – attacks targeting ML models) & AI Privacy (federated learning & homomorphic encryption) ML/DL for Security Generative Adversarial Networks (GANs)

4 năm trước

Windows Security Malware Analysis and Detection ML/DL for Security Generative Adversarial Networks (GANs) Sofware Security (Đang nghiên cứu chính) Binary Code Analysis Explainable Artificial Intelligence (Đang nghiên cứu chính) Malware

4 năm trước

Android Security Malware Analysis and Detection Digital Forensics ML/DL for Security Generative Adversarial Networks (GANs)

7 năm trước

AI-Driven Cybersecurity & Adversarial ML Secure Software & Supply Chain Protection Automated CTF Solving using AI/LLMs Prompt Injection & Security of AI Models Continuous Exposure & Attack Path Management AI-Enhanced Threat Intelligence & Automation Malware Behavior / Detection Human Factors & Socio-Technical Security

7 năm trước

Software Defined Networking ML for CyberSecurity Assembly Windows Malware  

8 năm trước

Network Security and Administration Moving Target Defense Cyber Deception Virtualization & Cloud Web Security

8 năm trước

Malware analysis Sandbox techniques for malware analysis Data leakage detection in Android apps Network security Machine Learning in Malware detection Digital Forensics IoT Security

8 năm trước

Software Security Blockchain Digital forensics Network Security Cyber Deception Intrusion Detection System (IDS) Malware Detection and Analysis Machine Learning-based Cybersecurity Adversarial Machine Learning (Machine Learning Security) Private Machine Learning (Federated Learning)