Adversarial Machine Learning Attacks and Defense Methods in the Cyber Security Domain

This project is essentially an academic survey (arXiv:2007.02407) that is over five years old. With 0 stars and minimal forks, it lacks any software-based moat or community momentum. While the theoretical content is rigorous for its time, it has been largely superseded by modern adversarial AI research and industrial-grade toolkits. In the current market, major players like Microsoft (Counterfit), IBM (Adversarial Robustness Toolbox), and specialized startups (HiddenLayer, Robust Intelligence) have productized these concepts with much higher engineering velocity. Furthermore, frontier labs (OpenAI, Anthropic) are now focusing on 'Red Teaming' and 'AI Safety' as core platform features, making a standalone survey of older ML attacks highly susceptible to obsolescence. The project represents a point-in-time reference rather than a defensible technology or tool.