Model Extraction: Rate Limiting Buys Time, It Does Not Stop Distillation
This story is from 2026-10-05. It is preserved in the archive; the latest stories are on the live feed.
Model extraction is straightforward in principle: query the API, collect input-output pairs, train a student model on them. For a classifier with a well-defined decision boundary, a few tens of thousands of well-chosen queries can produce a student that agrees with the victim on the large majority…
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- 2026-10-05 06:47 · DEV Community — Machine Learning
Model Extraction: Rate Limiting Buys Time, It Does Not Stop Distillation