Sergey Yekhanin

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20242026

most citedDifferentially Private Synthetic Data via Foundation Model APIs 2: Text

2 citations · 2 across the 5 of their papers we have counts for

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cs.LG2026

PE-means: Improved Differentially Private $k$ -means Clustering through Private Evolution

Thomas Humphries, Zinan Lin, Sergey Yekhanin

We study the problem of differentially private (DP) $k$ -means clustering in Euclidean space. Previous solutions rely on summing the private data directly, which induces a sensitivi…

cs.LG2026

Differentially Private Synthetic Data via APIs 4: Tabular Data

Toan Tran, Arturs Backurs, Zinan Lin +3

This paper investigates the problem of generating synthetic tabular data with differential privacy (DP) guarantees, enabling data sharing in sensitive domains. Despite extensive st…

PE-means: Improved Differentially Private k-means Clustering through Private Evolution

Differentially Private Synthetic Data via APIs 4: Tabular Data

PE-means: Improved Differentially Private $k$ -means Clustering through Private Evolution