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FGSM

Test an image model with a single gradient-based adversarial perturbation.

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Robustness
Applies to
Adversarial attacks on image models
App version
2.0.0
Channel
stable

Required inputs

A model, evaluation data, a baseline result and the selected transformation or attack settings. Adversarial attacks require a compatible image model.

Test procedure

Establish the baseline, apply the selected perturbation and rerun the task metric under the changed conditions.

Interpreting results

Compare the perturbed result with the baseline and inspect affected examples. Judge the change against conditions plausible for your use case.

Limitations

Evidence record

Keep the baseline, perturbation configuration, changed examples and resulting performance comparison together.