Akito Yamamoto

According to our database, Akito Yamamoto authored at least 11 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2025

Direction-Oriented Smooth Sensitivity and Its Application to Genomic Statistical Analysis.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the Information Security and Privacy - 30th Australasian Conference, 2025

2024

Generalization and Enhancement of Piecewise Mechanism for Collecting Multidimensional Data.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE International Conference on Security, 2024

Privacy-Optimized Randomized Response for Sharing Multi-Attribute Data.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE Symposium on Computers and Communications, 2024

Differentially Private Selection using Smooth Sensitivity.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE International Performance, 2024

2023

Privacy-Preserving Statistical Analysis of Genomic Data Using Compressive Mechanism with Haar Wavelet Transform.

Akito Yamamoto, Tetsuo Shibuya

J. Comput. Biol., February, 2023

Privacy-Preserving Publication of GWAS Statistics using Smooth Sensitivity.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the 20th Annual International Conference on Privacy, Security and Trust, 2023

A Joint Permute-and-Flip and Its Enhancement for Large-Scale Genomic Statistical Analysis.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE International Conference on Data Mining, 2023

Privacy-Preserving Genomic Statistical Analysis Under Local Differential Privacy.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

(ε, k)-Randomized Anonymization: ε-Differentially Private Data Sharing with k-Anonymity.

Akito Yamamoto, Eizen Kimura, Tetsuo Shibuya

Proceedings of the 16th International Joint Conference on Biomedical Engineering Systems and Technologies, 2023

2022

Efficient and Highly Accurate Differentially Private Statistical Genomic Analysis using Discrete Fourier Transform.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE International Conference on Trust, 2022

2021

Differentially Private Linkage Analysis with TDT - the case of two affected children per family.

Akito Yamamoto, Tetsuo Shibuya

Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine, 2021