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images array 3D | labels int32 |
|---|---|
[[[155,164,163,156,156,159,166,166,155,154,152,162,157,161,168,164,172,163,158,165,167,160,161,166,1(...TRUNCATED) | 3 |
[[[242,239,227,242,240,233,225,228,239,233,238,223,223,238,227,239,238,230,237,232,229,227,238,237,2(...TRUNCATED) | 8 |
[[[150,149,153,153,161,155,150,163,157,162,154,159,156,155,144,139,143,145,143,127,124,130,131,137,1(...TRUNCATED) | 8 |
[[[159,158,148,155,163,162,166,162,167,157,171,175,169,173,181,176,167,184,182,187,190,190,181,194,1(...TRUNCATED) | 0 |
[[[59,58,63,72,68,58,66,74,72,77,64,64,60,68,56,50,53,47,38,48,31,39,37,32,31,33,24,19,27,25,24,17,2(...TRUNCATED) | 6 |
[[[175,189,182,175,170,177,168,156,156,155,145,129,112,100,89,89,79,75,61,67,71,66,65,69,86,94,88,10(...TRUNCATED) | 6 |
[[[142,142,154,159,148,163,153,173,176,170,176,182,185,183,198,199,198,212,208,207,211,217,211,219,2(...TRUNCATED) | 1 |
[[[79,82,86,77,87,76,88,75,75,89,77,80,90,74,88,74,74,79,73,87,76,74,84,73,76,76,75,80,83,73,82,88,7(...TRUNCATED) | 6 |
[[[19,18,19,18,16,24,20,18,17,21,21,27,12,15,9,23,16,16,18,37,31,43,56,63,61,71,87,110,133,140,163,1(...TRUNCATED) | 3 |
[[[215,214,219,224,221,209,220,219,203,204,207,201,213,212,197,204,210,195,195,206,204,200,195,192,1(...TRUNCATED) | 1 |
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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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