Compositional robustness testing for vision models
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May 28, 2026 - Python
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autoattack
Here are 3 public repositories matching this topic...
Controlled PyTorch comparison of standard and adversarial training on GTSRB, with PGD, AutoAttack, reproducible evaluation, and measured accuracy–robustness trade-offs.
pytorch traffic-sign-classification gtsrb wide-resnet adversarial-training adversarial-robustness projected-gradient-descent autoattack
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Sep 13, 2026 - Python
Black-Box Neural Network Hardening Through Surrogate Model Defense Integration
computer-vision deep-learning pytorch knowledge-distillation model-extraction ai-safety wgan-gp onnx machine-learning-security surrogate-models adversarial-training adversarial-robustness adaptive-attacks black-box-defense autoattack robustbench dataset-synthesis defense-transfer
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Mar 4, 2026 - Jupyter Notebook
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