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