13o-bbr-bbq/machine_learning_security
Collection of projects applying machine learning to cybersecurity tasks including penetration testing, adversarial attacks, and vulnerability analysis.

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This repository aggregates machine learning projects focused on security applications. It includes a penetration testing tool (Deep Exploit, presented at Black Hat and DEF CON), a CNN adversarial example generator, and materials covering ML vulnerabilities and analytics. All projects use Python and apply ML techniques to security domains like network analysis and code injection.