Differentially Private Linkage Analysis with TDT - the case of two affected children per family. - Akito Yamamoto; Tetsuo Shibuya (BIBM, 2021)

Efficient and Highly Accurate Differentially Private Statistical Genomic Analysis using Discrete Fourier Transform. - Akito Yamamoto; Tetsuo Shibuya (TrustCom, 2022)

(ε, k)-Randomized Anonymization: ε-Differentially Private Data Sharing with k-Anonymity. - Akito Yamamoto; Eizen Kimura; Tetsuo Shibuya (HEALTHINF, 2023)

Privacy-Preserving Genomic Statistical Analysis Under Local Differential Privacy. - Akito Yamamoto; Tetsuo Shibuya (DBSec, 2023)

A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical Analysis. - Akito Yamamoto; Tetsuo Shibuya (ICDM (Workshops), 2023)

Privacy-Preserving Publication of GWAS Statistics using Smooth Sensitivity. - Akito Yamamoto; Tetsuo Shibuya (PST, 2023)

Privacy-Preserving Statistical Analysis of Genomic Data Using Compressive Mechanism with Haar Wavelet Transform. - Akito Yamamoto; Tetsuo Shibuya (J. Comput. Biol., 2023)

Differentially Private Selection using Smooth Sensitivity. - Akito Yamamoto; Tetsuo Shibuya (IPCCC, 2024)

Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data. - Akito Yamamoto; Tetsuo Shibuya (ISCC, 2024)

Generalization and Enhancement of Piecewise Mechanism for Collecting Multidimensional Data. - Akito Yamamoto; Tetsuo Shibuya (SpaCCS, 2024)

Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis. - Akito Yamamoto; Tetsuo Shibuya (ACISP (3), 2025)