Adversarial Machine Learning 101

A beginner friendly repository for getting started with adversarial machine learning in PyTorch with techniques including:

• Training and anlysisi of the parametric and non-parametric ML models on MNIST dataset
• Fast Gradient Sign Method (FGSM - Evasion Attack)
• Iterative Fast Gradient Sign Method (I-FGSM - Evasion Attack)
• Adversarial Training (Evasion Defense)
• Malware analysis and vectorization of system calls with potential malware