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cs.CR2025
AutoML in Cybersecurity: An Empirical Study
Sherif Saad, Kevin Shi, Mohammed Mamun +1
Automated machine learning (AutoML) has emerged as a promising paradigm for automating machine learning (ML) pipeline design, broadening AI adoption. Yet its reliability in complex…
cs.CR2025
LMDG: Advancing Lateral Movement Detection Through High-Fidelity Dataset Generation
Anas Mabrouk, Mohamed Hatem, Mohammad Mamun +1
Lateral Movement (LM) attacks continue to pose a significant threat to enterprise security, enabling adversaries to stealthily compromise critical assets. However, the development…