Updated on 2025/08/18

 
ZHANG Haibo
 
Scopus Paper Info  
Total Paper Count: 0  Total Citation Count: 0  h-index: 4

Citation count denotes the number of citations in papers published for a particular year.

Affiliation
Faculty of Computer Science and Systems Engineering Department of Artificial Intelligence
Job
Assistant Professor
External link

Research Interests

  • Machine Learning Robustness

  • Computer Vision

  • Image Recognition

Degree

  • 九州大学  -  博士(情報科学)   2024.03

Biography in Kyutech

  • 2024.04
     

    Kyushu Institute of Technology   Faculty of Computer Science and Systems Engineering   Department of Artificial Intelligence   Assistant Professor  

Academic Society Memberships

  • 2025.04   情報処理学会 CSEC研究会   Japan

  • 2024.04   IEEE Women In Engineering   United States

  • 2024.04   Institute of Electrical and Electronics Engineers   United States

  • 2024.04   Information Processing Society of Japan   Japan

Papers

  • LGNMNet-RF: Micro-Expression Detection Using Motion History Images Reviewed International journal

    Teng M.K.K., Zhang H., Saitoh T.

    Algorithms   17 ( 11 )   2024.11

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.3390/a17110491

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85210317376&origin=inward

  • Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-Based Adversarial Attack Defense Strategies Reviewed

    Haibo Zhang, Kouichi Sakurai

    Advanced Information Networking and Applications, Lecture Notes on Data Engineering and Communications Technologies ( Springer, Cham. )   201   151 - 162   2024.04

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Adversarial attacks pose a significant threat to the reliability and security of deep learning models, particularly in image processing applications. Defending against these sophisticated manipulations requires innovative strategies, with Generative Adversarial Networks (GANs) emerging as a promising solution. This paper presents an experimental exploration of the power of conditional Generative Adversarial Networks (cGANs) in image reconstruction-based strategies for defending against adversarial attacks. Our study involves a comparative analysis of four distinct image reconstruction models: the traditional GAN-based Defense-GAN, the cGAN-based method exemplified by pix2pix, a hybrid approach combining pix2pix with perceptual loss, and a generator model centered around residual blocks. The results of our experiments demonstrate that cGAN models exhibit significantly enhanced efficacy in defending against adversarial attacks compared to other image reconstruction methods. This superiority is attributed to the inherent characteristics of cGANs, which we delve into in detail. The findings provide crucial insights for developing more robust defense strategies against adversarial attacks in diverse image processing and machine learning applications.

    DOI: 10.1007/978-3-031-57870-0_14

    DOI: 10.1007/978-3-031-57870-0_14

    Kyutacar

  • One Pixel Adversarial Attack for Fooling Deep Learning-Based Facial Expression Recognition Systems Reviewed International journal

    Kumar P., Seal A., Mohanty S.K., Zhang H., Sakurai K.

    Proceedings 2024 IEEE Conference on Dependable and Secure Computing DSC 2024   23 - 30   2024.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/DSC63325.2024.00016

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85214561554&origin=inward

  • A Review on Machine Unlearning Reviewed International journal

    Zhang H., Nakamura T., Isohara T., Sakurai K.

    SN Computer Science   4 ( 4 )   2023.07

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1007/s42979-023-01767-4

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85153474758&origin=inward

  • Eliminating Adversarial Perturbations Using Image-to-Image Translation Method Reviewed International journal

    Zhang H., Yao Z., Sakurai K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   13907 LNCS   601 - 620   2023.01

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-031-41181-6_32

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174448356&origin=inward

  • Conditional Generative Adversarial Network-Based Image Denoising for Defending Against Adversarial Attack Reviewed International journal

    Zhang H., Sakurai K.

    IEEE Access   9   169031 - 169043   2021.01

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1109/ACCESS.2021.3137637

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85122080076&origin=inward

  • A Survey of Software Clone Detection from Security Perspective Reviewed International journal

    Zhang H., Sakurai K.

    IEEE Access   9   48157 - 48173   2021.01

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

    DOI: 10.1109/ACCESS.2021.3065872

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85103168898&origin=inward

  • Gaze Attention Estimation for Medical Environments Reviewed International journal

    Natchapol Shinno, Yuki Furuya, Takeshi Saitoh, Haibo Zhang, Keiko Tsuchiya, Hitoshi Sato, Frank Coffey

    Proceedings of MVA 2025 - 19th International Conference on Machine Vision and Applications   2025.07

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    Language:English   Publishing type:Research paper (international conference proceedings)

    Japan   Kyoto   2025.07.26  -  2025.07.28

  • Detecting Advanced Persistent Threat Exfiltration with Ensemble Deep Learning Tree Models and Novel Detection Metrics Reviewed International journal

    Cai X., Zhang H., Ahmed C.M., Koide H.

    IEEE Access   13   81803 - 81822   2025.01

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    Language:English   Publishing type:Research paper (scientific journal)

    DOI: 10.1109/ACCESS.2025.3567772

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  • Detection of Script Reading Face in Diet Deliberation Video Reviewed

    Yamaguchi T., Saitoh T., Zhang H.

    Lecture Notes in Electrical Engineering   1322 LNEE   189 - 198   2025.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-981-96-1535-3_20

    DOI: 10.1007/978-981-96-1535-3_20

  • Gaze Attention Estimation for Medical Environments International journal

    Shinno Natchapol, Haibo Zhang, Takeshi Saitoh

    12th International Symposium on Applied Engineering and Sciences (SAES2024)   2024.11

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    Language:English   Publishing type:Research paper (international conference proceedings)

    Japan   Kitakyushu   2024.11.14  -  2024.11.15

  • Leveraging Image-to-Image Translation for Enhanced Adversarial Defense International journal

    Haibo Zhang, Kouichi Sakurai, Takeshi Saitoh

    12th International Symposium on Applied Engineering and Sciences (SAES2024)   2024.11

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)

    Japan   Kitakyushu   2024.11.14  -  2024.11.15

  • Current Status and Challenges in Research on Machine Unlearning

    Haibo Zhang, Kouichi Sakurai

    Artificial Intelligence ( The Japanese Society for Artificial Intelligence (General Incorporated Association) )   38 ( 2 )   197 - 205   2023.03

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    Authorship:Lead author   Language:Japanese   Publishing type:Article, review, commentary, editorial, etc. (scientific journal)

    DOI: 10.11517/jjsai.38.2_197

    DOI: 10.11517/jjsai.38.2_197

    Kyutacar

  • POSTER: A Fine-Grained Metric for Evaluating the Performance of Adversarial Attacks and Defenses Reviewed International journal

    Zhang H., Yao Z., Sakurai K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   13907 LNCS   690 - 694   2023.01

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-031-41181-6_41

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85174449307&origin=inward

  • A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional Network Reviewed International journal

    He P., Zhang H., Feng Y., Sakurai K.

    Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)   14299 LNCS   513 - 523   2023.01

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    Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1007/978-3-031-45933-7_30

    Kyutacar

    Scopus

    Other Link: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85178520287&origin=inward

  • Blockchain for IoT-Based Digital Supply Chain: A Survey Reviewed

    Haibo Zhang, Kouichi Sakurai

    Advances in Internet, Data and Web Technologies, Lecture Notes on Data Engineering and Communications Technologies. ( Springer, Cham )   47   564 - 573   2020.01

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    Japan   Kitakyushu   2020.02.24  -  2020.02.26

    This exploratory investigation aims to discuss current network environment of digital supply chain system and security issues, especially from the Internet world, of digital supply chain management system with applying some advanced information technologies, such as Internet of Things and blockchain, for improving various system performance and properties. This paper introduces the general histories and backgrounds, in terms of information science, of the supply chain and relevant technologies which have been applied or are potential to be applied on supply chain with purpose of lowering cost, facilitating its security and convenience. It provides a comprehensive review of current relative research work and industrial cases from several famous companies. It also illustrates the IoT enablement and security issues of current digital supply chain system, and existing blockchain’s role in this kind of digital system. Finally, this paper concludes several potential or existing security issues and challenges which supply chain management is facing.

    DOI: 10.1007/978-3-030-39746-3_57

    DOI: 10.1007/978-3-030-39746-3_57

    Kyutacar

  • Security and trust issues on digital supply chain Reviewed International journal

    Zhang H., Nakamura T., Sakurai K.

    Proceedings - IEEE 17th International Conference on Dependable, Autonomic and Secure Computing, IEEE 17th International Conference on Pervasive Intelligence and Computing, IEEE 5th International Conference on Cloud and Big Data Computing, 4th Cyber Science and Technology Congress, DASC-PiCom-CBDCom-CyberSciTech 2019   338 - 343   2019.08

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    Authorship:Lead author, Corresponding author   Language:English   Publishing type:Research paper (international conference proceedings)

    DOI: 10.1109/DASC/PiCom/CBDCom/CyberSciTech.2019.00069

    Kyutacar

    Scopus

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Publications (Books)

Conference Prsentations (Oral, Poster)

  • 日本語文章読唇における生成発話シーンの利用とその効果の検証

    佐藤 光希, 張 海波, 齊藤 剛史

    第28回 画像の認識・理解シンポジウム(MIRU2025) 

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    Event date: 2025.07.29 - 2025.08.01   Language:Japanese   Country:Japan  

  • 中間表現文字列と自然言語処理を用いた日本語文章読唇

    甲斐 啓悟, 張 海波, 齊藤 剛史

    第28回 画像の認識・理解シンポジウム(MIRU2025) 

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    Event date: 2025.07.29 - 2025.08.01   Language:Japanese   Country:Japan  

  • 口形認識を利用した文字入力システム

    竹内 大輔, 齊藤 剛史, 伊藤 和幸, 張 海波

    福祉情報工学研究会  電子情報通信学会

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    Event date: 2025.03.10   Language:Japanese  

  • 360度カメラを利用した頭部姿勢推定と深度推定に基づく共同注視検出

    赤嶺 諒, 古谷 優樹, 張 海波, 齊藤 剛史, 土屋 慶子

    動的画像処理実利用化ワークショップ2025(DIA2025)  精密工学会 画像応用技術専門委員会

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    Event date: 2025.03.05 - 2025.03.06   Language:Japanese   Country:Japan  

  • ドイツ語の文章読唇用データセットの構築

    林 優毅, 齊藤 剛史, 張 海波

    第11回サイレント音声認識ワークショップ(SSRW2025) 

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    Event date: 2025.03.01   Language:Japanese  

  • 日本語文章発話シーンに対する母音レベル読唇に関する研究

    甲斐 啓悟, 齊藤 剛史, 張 海波

    第11回サイレント音声認識ワークショップ(SSRW2025) 

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    Event date: 2025.03.01   Language:Japanese  

  • 発話シーンから音声データの生成に関する研究

    脇坂 伸, 齊藤 剛史, 張 海波

    第11回サイレント音声認識ワークショップ(SSRW2025) 

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    Event date: 2025.03.01   Language:Japanese  

  • 神経難病患者の発話シーンに対するCNNとSpatial-GCNを統合した口形認識<

    権藤 優季, 齊藤 剛史, 伊藤 和幸, 張 海波

    バイオメトリクスと認識・認証シンポジウム(SBRA2024)  電子情報通信学会 バイオメトリクス研究専門委員会

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    Event date: 2024.12.10 - 2024.12.11   Language:Japanese  

  • 生成モデルによる文章読唇精度向上の検証

    佐藤 光希, 齊藤 剛史, 張 海波

    バイオメトリクスと認識・認証シンポジウム(SBRA2024)  電子情報通信学会 バイオメトリクス研究専門委員会

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    Event date: 2024.12.10 - 2024.12.11   Language:Japanese  

  • Multi-Input Late Fusion in LGNMNet-RF for Micro-Expression Detection

    Matthew Kit Khinn Teng, Haibo Zhang, Takeshi Saitoh

    バイオメトリクスと認識・認証シンポジウム(SBRA2024)  電子情報通信学会 バイオメトリクス研究専門委員会

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    Event date: 2024.12.10 - 2024.12.11   Language:English  

  • 眼球運動を利用したALS患者用の眼鏡型スイッチの開発(第2報)

    玉井 龍斗, 齊藤 剛史, 伊藤 和幸, 張 海波

    福祉情報工学研究会  電子情報通信学会

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    Event date: 2024.12.04 - 2024.12.05   Language:Japanese  

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Honors and Awards

  • Best Paper Award

    ICGEC 2024   Detection of Script Reading Face in Diet Deliberation Video   2024.08.28

    Tsuyoshi Yamaguchi, Takeshi Saitoh, Haibo Zhang

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    Country:Japan

Career of Research abroad

  • Research on Improvment of Machine Learning Defense Methods based on Diffusion Models

    The University of British Columbia  Project Year:  2025.04.01 - 2026.01.31

Activities of Academic societies and Committees

  • 情報処理学会 CSEC研究会   運営委員  

    2025.04

  • The Pacific Rim International Conference on Artificial Intelligence   program committee member  

    2023.11