Course 24 - Machine Learning for Red Team Hackers | Episode 4: Mastering White-Box and Black-Box Attacks
This episode discusses white-box and black-box threat models in machine learning security, explaining how gradient-based models are vulnerable to input perturbations using methods like FGSM. It covers adversarial ML frameworks, robustness evaluations, and defensive takeaways for…