activity
20192022
most citedNASS: Optimizing Secure Inference via Neural Architecture Search

8 citations · 10 across the 4 of their papers we have counts for

collaborators

6 papers

eess.SY2022

Adaptive Outlier Detection for Power MOSFETs Based on Gaussian Process Regression

Kyohei Shimozato, Michihiro Shintani, Takashi Sato

Outlier detection of semiconductor devices is important since manufacturing variation is inherently inevitable. In order to properly detect outliers, it is necessary to consider th…

eess.SY2021

Accelerating Parameter Extraction of Power MOSFET Models Using Automatic Differentiation

Michihiro Shintani, Aoi Ueda, Takashi Sato

The extraction of the model parameters is as important as the development of compact model itself because simulation accuracy is fully determined by the accuracy of the parameters…

cs.CR2020

Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE

Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto +2

We present Virtual Secure Platform (VSP), the first comprehensive platform that implements a multi-opcode general-purpose sequential processor over Fully Homomorphic Encryption (FH…

cs.CV20202 cited

BUNET: Blind Medical Image Segmentation Based on Secure UNET

Song Bian, Xiaowei Xu, Weiwen Jiang +2

The strict security requirements placed on medical records by various privacy regulations become major obstacles in the age of big data. To ensure efficient machine learning as a s…

cs.CR20208 cited

NASS: Optimizing Secure Inference via Neural Architecture Search

Song Bian, Weiwen Jiang, Qing Lu +2

Due to increasing privacy concerns, neural network (NN) based secure inference (SI) schemes that simultaneously hide the client inputs and server models attract major research inte…

astro-ph.IM2019

Application of the independent component analysis to the iKAGRA data

KAGRA Collaboration, T. Akutsu, M. Ando +244

We apply the independent component analysis (ICA) to the real data from a gravitational wave detector for the first time. Specifically we use the iKAGRA data taken in April 2016, a…