Compositional robustness testing for vision models
-
Updated
May 28, 2026 - Python
Compositional robustness testing for vision models
Adversarial ML toolkit: FGSM, PGD, C&W, AutoAttack experiments, and robustness defenses for CIFAR-10 with documented limits.
Add a description, image, and links to the autoattack topic page so that developers can more easily learn about it.
To associate your repository with the autoattack topic, visit your repo's landing page and select "manage topics."