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ENTITY shadow models

shadow models

PulseAugur coverage of shadow models — every cluster mentioning shadow models across labs, papers, and developer communities, ranked by signal.

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  1. RESEARCH · CL_239485 ·

    Split-LLM training leaks private data via gradient patterns, study finds

    A new study on split-LLM training reveals a critical privacy vulnerability where the returned gradients can inadvertently expose sensitive data. Researchers found that while initial privacy checks passed, the pattern of…

  2. TOOL · CL_111750 ·

    New DUI method quantifies dataset usage without shadow models

    A new framework for Dataset Usage Inference (DUI) has been proposed, which aims to determine the proportion of a dataset used in training a machine learning model without requiring shadow models or held-out data. This m…