13o-bbr-bbq/machine_learning_security
Collection of projects applying machine learning to cybersecurity tasks including penetration testing, adversarial attacks, and vulnerability analysis.
Not currently ranked — collecting fresh signals.
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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.
Frequently asked
- What is 13o-bbr-bbq/machine_learning_security?
- Collection of projects applying machine learning to cybersecurity tasks including penetration testing, adversarial attacks, and vulnerability analysis.
- Is machine_learning_security open source?
- Yes — 13o-bbr-bbq/machine_learning_security is an open-source project tracked on heatdrop.
- What language is machine_learning_security written in?
- 13o-bbr-bbq/machine_learning_security is primarily written in Python.
- How popular is machine_learning_security?
- 13o-bbr-bbq/machine_learning_security has 2.1k stars on GitHub.
- Where can I find machine_learning_security?
- 13o-bbr-bbq/machine_learning_security is on GitHub at https://github.com/13o-bbr-bbq/machine_learning_security.