activity
20202022
most citedKART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models

6 citations · 9 across the 5 of their papers we have counts for

collaborators
Showing 2021Show all

2 papers · 1 filter

eess.IV2021

X2CT-FLOW: Maximum a posteriori reconstruction using a progressive flow-based deep generative model for ultra sparse-view computed tomography in ultra low-dose protocols

Hisaichi Shibata, Shouhei Hanaoka, Yukihiro Nomura +4

Ultra sparse-view computed tomography (CT) algorithms can reduce radiation exposure of patients, but those algorithms lack an explicit cycle consistency loss minimization and an ex…

cs.CL2021★ 6 cited

KART: Parameterization of Privacy Leakage Scenarios from Pre-trained Language Models

Yuta Nakamura, Shouhei Hanaoka, Yukihiro Nomura +5

For the safe sharing pre-trained language models, no guidelines exist at present owing to the difficulty in estimating the upper bound of the risk of privacy leakage. One problem i…