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@@ -49,8 +49,17 @@ The result is an image perceptually identical to the original, with a manipulate
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  ## Training Statistics
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- [dataset, optimizer, schedule, augmentation]
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- [val accuracy — fill in after training]
 
 
 
 
 
 
 
 
 
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  ## Usage
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  ## Training Statistics
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+ first evaluation on CIFAR-10 test set (10,000 images). All perturbations applied at inference
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+ the model never saw test distribution during training.
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+
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+ | Perturbation | Accuracy | Drop |
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+ |---|---|---|
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+ | Clean | 91.95% | — |
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+ | Resize ×0.5 (bilinear) | 59.83% | −32.12% |
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+ | Resize ×0.25 (bilinear) | 24.82% | −67.13% |
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+ | Decimate ×2 | 30.03% | −61.92% |
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+ | Checkerboard ε=0.03 | 75.47% | −16.48% |
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+ | Checkerboard ε=0.05 | 44.99% | −46.96% |
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  ## Usage
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