This project implements a compact adversarial robustness experiment:
- Dataset: CIFAR-10
- Model: CIFAR-style ResNet-18
- Attacks: FGSM and PGD under
L_inf - Defense: PGD adversarial training
- Outputs: checkpoints, training logs, evaluation metrics, robustness curves, adversarial example visualizations, and confusion matrices
Detailed setup and execution steps are in EXPERIMENT_STEPS.md.