6 citations · 8 across the 3 of their papers we have counts for
3 papers
cs.CR2021★ 6 cited
Privacy-Preserving Feature Selection with Fully Homomorphic Encryption
Shinji Ono, Jun Takata, Masaharu Kataoka +3
For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let , , and be data, feature, and class sets, respectively, where the feature val…
cs.LG2019★ 2 cited
Neural Networks Weights Quantization: Target None-retraining Ternary (TNT)
Tianyu Zhang, Lei Zhu, Qian Zhao +1
Quantization of weights of deep neural networks (DNN) has proven to be an effective solution for the purpose of implementing DNNs on edge devices such as mobiles, ASICs and FPGAs,…
cs.CR2019
Faster Privacy-Preserving Computation of Edit Distance with Moves
Yohei Yoshimoto, Masaharu Kataoka, Yoshimasa Takabatake +3
We consider an efficient two-party protocol for securely computing the similarity of strings w.r.t. an extended edit distance measure. Here, two parties possessing strings and…