Research

Publications

[Google Scholar] [DBLP]

International Conference / Journal

OLIVE: oblivious federated learning on trusted execution environment against the risk of sparsification
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2023 VLDB (CORE rank A*) [paper link] [code]

From Bounded to Unbounded: Privacy Amplification via Shuffling with Dummies
Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2023 IEEE CSF (CORE rank A) [paper link]

Asymmetric Differential Privacy
Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022 IEEE BigData (CORE rank B) [paper link]

An Accurate, Flexible and Private Trajectory-based Contact Tracing System
Ruixuan Cao, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022 iiWAS (CORE rank C) [paper link]

HDPView: Differentially Private Materialized View for Exploring High Dimensional Relational Data
Fumiyuki Kato, Tsubasa Takahashi, Shun Takagi, Yang Cao, Seng Pei Liew, Masatoshi Yoshikawa
2022 VLDB (CORE rank A*) [paper link] [code]

Network Shuffling: Privacy Amplification via Random Walks
Seng Pei Liew, Tsubasa Takahashi, Shun Takagi, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2022 ACM SIGMOD (CORE rank A*) [paper link]

PCT-TEE: Trajectory-based Private Contact Tracing System with Trusted Execution Environment
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2021 ACM Transactions on Spatial Algorithms and Systems [paper link] [code]

Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2021 DBSec (CORE rank B) [paper link] [code]

Secure and Efficient Trajectory-Based Contact Tracing using Trusted Hardware
Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa
2020 PSBD@IEEE BigData (CORE rank B) [paper link]

Blockchain-empowered Contact Tracing for COVID-19 Using Crypto-spatiotemporal Information
Zheng Wen, Keping Yu, Xin Qi, Toshio Sato, Yutaka Katsuyama,Takuro Sato, Wataru Kameyama, Fumiyuki Kato, Yang Cao, Masatoshi Yoshikawa, Min Luo and Jun Hashimoto
2020 IEEE HEALTHCOM (CORE rank C) [paper link]

Preprint

ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa
2023 arxiv [paper link] [code]

Domestic conference (Non-refereed)

TEEを備えた軌跡ベースのプライバシ保護型接触追跡システムにおける付加情報の利用
Cao Ruixuan, 加藤 郁之, 曹 洋, 吉川 正俊
2022 DEIM

多次元データへのカウントクエリに適した差分プライバシ
加藤 郁之, 高橋翼, 曹 洋, 吉川 正俊
2021 DEIM [paper link]

TEEに基づく差分プライバシの検証
加藤 郁之, 曹 洋，吉川 正俊
2020 DEIM [paper link]

プライバシ保護深層学習のためのSGX分散処理の提案
加納 英樹，加藤 郁之，ティブシ メディ，阿部 正幸，曹 洋
2020 SCIS

報道元と報道時期を利用したWeb記事による将来予測
加藤 郁之, 吉川 正俊, 加藤 誠
2019 DEIM [paper link]