Thomas Humphries

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20222026

most citedCache Me If You Can: Accuracy-Aware Inference Engine for Differentially Private Data Exploration

2 citations · 3 across the 6 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…

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

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