Rchr
J-GLOBAL ID:201101030099215405   Update date: Nov. 14, 2024

Yoshikawa Masatoshi

ヨシカワ マサトシ | Yoshikawa Masatoshi
Affiliation and department:
Job title: Professor
Research field  (1): Database science
Research theme for competitive and other funds  (34):
  • 2022 - 2025 A Principled Framework for Explaining, Choosing and Negotiating Privacy Parameters of Differential Privacy
  • 2021 - 2024 個人の選好と報酬配分を考慮したパーソナルデータの健全で頑健な流通系構築に向けて
  • 2019 - 2024 A scalable privacy-preserving information retrieval system based on federated optimization, on-device intelligence and semantic matching
  • 2018 - 2023 Credibility Validation of Web Information and Generation of Credible Information based on Quantitative Data
  • 2018 - 2022 民主的データ流通社会を実現するCDMSの基盤技術と応用に関する研究
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Papers (205):
  • Lele Zheng, Yang Cao, Renhe Jiang, Kenjiro Taura, Yulong Shen, Sheng Li, Masatoshi Yoshikawa. Enhancing Privacy of Spatiotemporal Federated Learning Against Gradient Inversion Attacks. Lecture Notes in Computer Science. 2024. 457-473
  • Ruixuan Liu, Sepanta Zeighami, Haowen Lin, Cyrus Shahabi, Yang Cao, Shun Takagi, Yoko Konishi, Masatoshi Yoshikawa, Li Xiong. Supporting Pandemic Preparedness with Privacy Enhancing Technology. 2023 5th IEEE International Conference on Trust, Privacy and Security in Intelligent Systems and Applications (TPS-ISA). 2023. 30. 34-43
  • Hisaichi Shibata, Shouhei Hanaoka, Yang Cao, Masatoshi Yoshikawa, Tomomi Takenaga, Yukihiro Nomura, Naoto Hayashi, Osamu Abe. Local Differential Privacy Image Generation Using Flow-Based Deep Generative Models. Applied Sciences. 2023. 13. 18. 10132-10132
  • Chao Tan, Yang Cao, Sheng Li, Masatoshi Yoshikawa. General or Specific? Investigating Effective Privacy Protection in Federated Learning for Speech Emotion Recognition. ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 2023
  • Shun Takagi, Yang Cao 0011, Yasuhito Asano, Masatoshi Yoshikawa. Geo-Graph-Indistinguishability: Location Privacy on Road Networks with Differential Privacy. IEICE Trans. Inf. Syst. 2023. 106. 5. 877-894
more...
MISC (437):
  • Yaowei Han, Yang Cao 0011, Masatoshi Yoshikawa. Understanding the Interplay between Privacy and Robustness in Federated Learning. CoRR. 2021. abs/2106.07033
  • Shuyuan Zheng, Yang Cao 0011, Masatoshi Yoshikawa. Incentive Mechanism for Privacy-Preserving Federated Learning. CoRR. 2021. abs/2106.04384
  • Shuyuan Zheng, Yang Cao 0011, Masatoshi Yoshikawa. Trading Data with Personalized Differential Privacy and Partial Arbitrage Freeness. CoRR. 2021. abs/2105.01651
  • Fumiyuki Kato, Yang Cao 0011, Masatoshi Yoshikawa. Preventing Manipulation Attack in Local Differential Privacy using Verifiable Randomization Mechanism. CoRR. 2021. abs/2104.06569
  • Shun Takagi, Yang Cao 0011, Masatoshi Yoshikawa. Asymmetric Differential Privacy. CoRR. 2021. abs/2103.00996
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Patents (2):
  • 識別番号付与装置,識別番号管理方法,識別番号管理プログラム及び同プログラムを記録したコンピュータ読み取り可能な記録媒体
  • 関係ネットワーク変換装置、関係ネットワーク変換方法、コンピュータプログラム及び縁検索システム
Books (7):
  • データベースの基礎
    オーム社 2019 ISBN:9784274223730
  • Hundred Years' History of IEICE
    IEICE 2017
  • Database Systems for Advanced Applications
    Springer 2010 2010
  • Advanced Applications and Structures in XML Processing: Label Streams, Semantics Utilization and Data Query Technologies'
    Publisher: IGI Global, ISBN: 1-61520-727-9, January 2010 2010
  • XML Storage
    ISBN 978-0-387-35544-3 (Print) 978-0-387-39940-9 (Online) Springer U.S.A., 2009. (print and online) 2009
more...
Lectures and oral presentations  (5):
  • Personal Data as “New Oil” and its Market
    (Korea-Japan (Japan-Korea) Database Workshop 2017 (KJDB 2017) 2017)
  • Multi-user Routing with Confluence
    (The 6th International Conference on Emerging Databases (EDB) 2016)
  • Mutually beneficial Confluent Routing
    (The 2016 International Conference on Computer, Control, Informatics and its Applications (IC3INA 2016) 2016)
  • Stress Prediction, Social Routing, and Privacy Protection for Pedestrians
    (The 1st International Conference on Big Data Applications and Services (BigDAS 2015) 2015)
  • 健康・医療ビッグ データを用いた情報学研究
    (第51回日本医療・病院管理学会学術総会ランチョンセミナー「病院経営にビッグデータをどう活用するか」 2013)
Education (3):
  • 1982 - 1985 京都大学大学院 工学研究科 情報工学専攻 博士後期課程
  • 1980 - 1982 京都大学大学院 工学研究科 情報工学専攻 修士課程
  • 1976 - 1980 Kyoto University Faculty of Engineering
Professional career (1):
  • 工学博士 (京都大学)
Work history (8):
  • 2023/04 - Osaka Seikei University Faculty of Data Science Professor
  • 2006/04 - 2023/03 Kyoto University Graduate School of Informatics Department of Socisl Informatics
  • 2005/10 - 2006/03 Nagoya University
  • 2002/06 - 2005/09 Nagoya University Information Technology Center
  • 1993/04 - 2002/05 Nara Institute of Science and Technology
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Committee career (45):
  • 2018/04/01 - 2020/03/31 - -
  • 2020 - - -
  • 2020 - - -
  • 2020 - - -
  • 2020 - - -
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Association Membership(s) (5):
Association for Computing Machinery (ACM) ,  Japan Society for Software Science and Technology ,  The Institute of Electronics, Information and Communication Engineerse ,  Database Society of Japan ,  Information Processing Society of Japan
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