Dataset · Hugging Face

amanyagami/viyog-adversarial

Name: viyog-adversarial
Creator: amanyagami
License: mit
Keywords: task_categories:image-classification, license:mit, size_categories:100K<n<1M, library:datasets, library:mlcroissant, region:us, adversarial-examples, robustness, ood-detection, viyog

Viyog — adversarial samples Precomputed adversarial examples used in Viyog. Attacks: FGSM, BIM, PGD, APGD-CE (full), plus DeepFool and CW (capped) — crafted against the finetuned backbones in amanyagami/viyog-weights. Format — HDF5 (<model>_<attack>.h5): images (uint8, NCHW 224x224) + labels (int32). root: CIFAR-100 attacks · cifar10/: CIFAR-10 attacks Load with h5py. Package: pip install viyog · code: https://github.com/amanyagami/viyog

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Author / organization	amanyagami
License (as declared)	mit
Downloads	880 (as reported by Hugging Face)
Likes	0
Created	13 July 2026
Last updated at source	13 July 2026

adversarial-examplesrobustnessood-detectionviyog

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