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Bian Song  ビアン ソン

ORCIDConnect your ORCID iD *help
Researcher Number 00866030
Affiliation (based on the past Project Information) *help 2020 – 2022: 京都大学, 情報学研究科, 助教
Review Section/Research Field
Principal Investigator
Basic Section 60070:Information security-related
Except Principal Investigator
Medium-sized Section 60:Information science, computer engineering, and related fields
Keywords
Principal Investigator
multi-party computation / ハードウェアアクセラレータ / ニューラルネットワーク / AIセキュリティ / 安全計算 / learning with errors / 秘匿機械学習 / 準同型暗号
Except Principal Investigator
ハードウェアセキュリティ / PUF … More / 物理的複製困難回路 / PUF / セキュリティ / 認証 / 特性ばらつき / 物理的複製困難関数 Less
  • Research Projects

    (2 results)
  • Research Products

    (25 results)
  • Co-Researchers

    (1 People)
  •  Clonable PUF: Physical Unclonable Function with Limited Replication

    • Principal Investigator
      Sato Takashi
    • Project Period (FY)
      2020 – 2022
    • Research Category
      Grant-in-Aid for Challenging Research (Exploratory)
    • Review Section
      Medium-sized Section 60:Information science, computer engineering, and related fields
    • Research Institution
      Kyoto University
  •  Secure and Efficient Machine Learning Frameworks through Homomorphic Secure ProtocolsPrincipal Investigator

    • Principal Investigator
      Bian Song
    • Project Period (FY)
      2020 – 2021
    • Research Category
      Grant-in-Aid for Early-Career Scientists
    • Review Section
      Basic Section 60070:Information security-related
    • Research Institution
      Kyoto University

All 2023 2022 2021 2020

All Journal Article Presentation

  • [Journal Article] Efficient Analysis for Mitigation of Workload-dependent Aging Degradation2022

    • Author(s)
      Morita Shumpei、Bian Song、Shintani Michihiro、Sato Takashi
    • Journal Title

      IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems

      Volume: - Issue: 12 Pages: 1-1

    • DOI

      10.1109/tcad.2022.3149856

    • Peer Reviewed / Open Access
    • Data Source
      KAKENHI-PROJECT-20H04156, KAKENHI-PROJECT-20K21793
  • [Journal Article] APAS: Application-Specific Accelerators for RLWE-based Homomorphic Linear Transformations2021

    • Author(s)
      Bian Song、Kundi Dur E Shahwar、Hirozawa Kazuma、Liu Weiqiang、Sato Takashi
    • Journal Title

      IEEE Transactions on Information Forensics and Security

      Volume: 1 Pages: 4663-4678

    • DOI

      10.1109/tifs.2021.3114032

    • Peer Reviewed / Open Access / Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799, KAKENHI-PROJECT-20H04156, KAKENHI-PROJECT-20K21793
  • [Journal Article] Stable Organic SRAM Cell With P-type Access Transistors2021

    • Author(s)
      Z. Qin, S. Bian, K. Kuribara, and T. Sato
    • Journal Title

      Japanese Journal of Applied Physics (JJAP)

      Volume: 60 Issue: SB Pages: SBBG04-SBBG04

    • DOI

      10.35848/1347-4065/abd534

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K21793, KAKENHI-PROJECT-20H04156
  • [Journal Article] Separation of Bias Stress Degradation Factors in Organic Thin-film Transistors2021

    • Author(s)
      K. Oshima, S. Bian, K. Kuribara, and T. Sato
    • Journal Title

      Japanese Journal of Applied Physics (JJAP)

      Volume: 60 Issue: SB Pages: SBBG06-SBBG06

    • DOI

      10.35848/1347-4065/abdcb2

    • Peer Reviewed
    • Data Source
      KAKENHI-PROJECT-20K21793, KAKENHI-PROJECT-20H04156
  • [Presentation] Integer-wise型TFHEの算術演算の高速化2023

    • Author(s)
      松岡 航太郎, 星月 祐介, 佐藤 高史, Song Bian
    • Organizer
      暗号とセキュリティシンポジウム
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Automatic Parallelism Tuning for Module Learning With Errors Based Post-Quantum Key Exchanges on GPUs2021

    • Author(s)
      T. Ono, S. Bian, and T. Sato
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Clonable PUF: On the design of PUFs that share equivalent responses2021

    • Author(s)
      Takashi Sato, Yuki Tanaka, and Song Bian
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Privacy-preserving medical image segmentation via hybrid trusted execution environment2021

    • Author(s)
      Song Bian, Weiweng Jiang, and Takashi Sato
    • Organizer
      ACM/IEEE Design Automation Conference (DAC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment2021

    • Author(s)
      Song Bian, Weiwen Jiang, and Takashi Sato
    • Organizer
      ACM/IEEE Design Automation Conference (DAC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] Clonable PUF: on the Design of PUFs That Share Equivalent Responses2021

    • Author(s)
      Takashi Sato, Yuki Tanaka, Song Bian
    • Organizer
      International Symposium on Circuits and Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] Privacy-Preserving Medical Image Segmentation via Hybrid Trusted Execution Environment2021

    • Author(s)
      Song Bian, Weiwen Jiang, and Takashi Sato
    • Organizer
      ACM/IEEE Design Automation Conference
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs2021

    • Author(s)
      Tatsuki Ono, Song Bian, Takashi Sato
    • Organizer
      International Symposium on Circuits and Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] Clonable PUF: On the Design of PUFs That Share Equivalent Responses2021

    • Author(s)
      T. Sato, Y. Tanaka, and S. Bian
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Automatic Parallelism Tuning for Module Learning with Errors Based Post-Quantum Key Exchanges on GPUs2021

    • Author(s)
      Tatsuki Ono, Song Bian, Takashi Sato
    • Organizer
      IEEE International Symposium on Circuits and Systems
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] Virtual secure platform: A five-stage pipeline processor over TFHE2021

    • Author(s)
      Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto, Takashi Sato, and Song Bian
    • Organizer
      Usenix Security Symposium
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Privacy-preserving Medical Image Segmentation via Hybrid Trusted Execution Environment2021

    • Author(s)
      S. Bian, W. Jiang, and T. Sato
    • Organizer
      ACM/IEEE Design Automation Conference (DAC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Towards better standard cell library: Optimizing compound logic gates for TFHE2021

    • Author(s)
      Kotaro Matsuoka, Yusuke Hoshizuki, Takashi Sato and Song Bian
    • Organizer
      ACM Workshop on Encrypted Computing & Applied Homomorphic Cryptography (WAHC)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Virtual Secure Platform: A Five-stage Pipeline Processor Over TFHE2021

    • Author(s)
      K. Matsuoka, R. Banno, N. Matsumoto, T. Sato, and S. Bian
    • Organizer
      Usenix Security Symposium
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Automatic parallelism tuning for module learning with errors based post-Quantum key exchanges on GPUs2021

    • Author(s)
      Tatsuki Ono, Song Bian, and Takashi Sato
    • Organizer
      IEEE International Symposium on Circuits and Systems (ISCAS)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] Virtual Secure Platform: A Five-Stage Pipeline Processor over TFHE2021

    • Author(s)
      Kotaro Matsuoka, Ryotaro Banno, Naoki Matsumoto, Takashi Sato, and Song Bian
    • Organizer
      USENIX Security Symposium
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] BUNET: Blind Medical Image Segmentation Based on Secure UNET2020

    • Author(s)
      S. Bian, X. Xu, W. Jiang, Y. Shi, and T. Sato
    • Organizer
      Medical Image Computing and Computer Assisted Interventions (MICCAI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] NASS: Optimizing Secure Inference via Neural Architecture Search2020

    • Author(s)
      S. Bian, W. Jiang, Q. Lu, Y. Shi, and T. Sato
    • Organizer
      European Conference on Artificial Intelligence (ECAI)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] BUNET: Blind Medical Image Segmentation Based on Secure UNET2020

    • Author(s)
      Song Bian, Xiaowei Xu, Weiwen Jiang, Yiyu Shi, and Takashi Sato
    • Organizer
      International Conference on Medical Image Computing and Computer-Assisted Intervention
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • [Presentation] ENSEI: Efficient Secure Inference via Frequency-domain Homomorphic Convolution for Privacy-preserving Visual Recognition2020

    • Author(s)
      S. Bian, T. Wang, M. Hiromoto, Y. Shi, and T. Sato
    • Organizer
      Computer Vision and Pattern Recognition (CVPR)
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K21793
  • [Presentation] AutoPrivacy: Automated Layer-wise Parameter Selection for Secure Neural Network Inference2020

    • Author(s)
      Qian Lou, Song Bian, and Lei Jiang
    • Organizer
      Conference on Neural Information Processing
    • Int'l Joint Research
    • Data Source
      KAKENHI-PROJECT-20K19799
  • 1.  Sato Takashi (20431992)
    # of Collaborated Projects: 1 results
    # of Collaborated Products: 16 results

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