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Home/Authors/Hiroaki Kikuchi

Hiroaki Kikuchi

1 indexed paper

Recent (6 mo)
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Publications per year

1
26

Top categories

Crypto×1Stats Apps×1Stats Method.×1

Frequent co-authors

Keita Fukuyama1×
Yukiko Mori1×
Tomohiro Kuroda1×

Research Timeline

2026
Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study

The study systematically evaluated the utility loss of Cox regression under differential privacy (DP) using multiple datasets, finding that significant utility degradation occurs at standard DP levels ($ ext{e.g.}, ext{LSR} ext{ of } 90 ext{-}94 ext{\%}$), requiring high $ ext{e}$ values ($ ext{e.g.}, ext{e} ext{ of } 30 ext{-}60$) for practical significance preservation.

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Papers

cs.CRstat.APstat.MERecentApr 23, 2026

Benchmarking the Utility of Privacy-Preserving Cox Regression Under Data-Driven Clipping Bounds: A Multi-Dataset Simulation Study

Keita Fukuyama, Yukiko Mori, Tomohiro Kuroda, Hiroaki Kikuchi

The study systematically evaluated the utility loss of Cox regression under differential privacy (DP) using multiple datasets, finding that significant utility degradation occurs at standard DP levels…

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