Comments (1)
moohax
commented on July 27, 2024
The old version you had to define y in the target. For example, if your sample was a picture of a cat, you'd need know that target model would label it. This wasn't ideal because of the blackbox nature of our assessments, so we first ask the model to label our sample and go from there.
initial inputis the sample. It's the selectedx.final inputis the perturbed sample. If they are the same, it usually means the algorithm failed to find an example, and that there were no issues in code.final outputis the final label of thefinal input.
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