mixture-proportion-estimation

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Dataset Usage Inference without Shadow Models or Held-out Data

arXiv cs.LG · 2026-06-26 Cached

Introduces a practical framework for Dataset Usage Inference (DUI) that estimates the fraction of a dataset used to train a generative model without requiring shadow models or held-out data, using synthetic non-members and mixture proportion estimation.

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