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News/Label Differential Privacy via Aggregation
arxiv
PublishedSeptember 11, 2026 at 4:00 AM
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Label Differential Privacy via Aggregation

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arXiv:2310.10092v4 Announce Type: replace Abstract: This paper explores the use of linear aggregation to protect the privacy of sensitive training labels through the concept of \emph{label differential privacy} (label-DP) while maintaining regression task utility. Our key finding is that weighted li

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