1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CR2023
On Rényi Differential Privacy in Statistics-Based Synthetic Data Generation
Takayuki Miura, Toshiki Shibahara, Masanobu Kii +3
Privacy protection with synthetic data generation often uses differentially private statistics and model parameters to quantitatively express theoretical security. However, these m…
cs.CR2021
Efficient decision tree training with new data structure for secure multi-party computation
Koki Hamada, Dai Ikarashi, Ryo Kikuchi +1
We propose a secure multi-party computation (MPC) protocol that constructs a secret-shared decision tree for a given secret-shared dataset. The previous MPC-based decision tree tra…
cs.CR2015★ 1 cited
k-anonymous Microdata Release via Post Randomisation Method
Dai Ikarashi, Ryo Kikuchi, Koji Chida +1
The problem of the release of anonymized microdata is an important topic in the fields of statistical disclosure control (SDC) and privacy preserving data publishing (PPDP), and ye…