Security and Trust Issues on Digital Supply Chain. - Haibo Zhang 008; Toru Nakamura; Kouichi Sakurai (DASC/PiCom/DataCom/CyberSciTech, 2019)

Blockchain for IoT-Based Digital Supply Chain: A Survey. - Haibo Zhang 008; Kouichi Sakurai (EIDWT, 2020)

A Survey of Software Clone Detection From Security Perspective. - Haibo Zhang 008; Kouichi Sakurai (IEEE Access, 2021)

Conditional Generative Adversarial Network-Based Image Denoising for Defending Against Adversarial Attack. - Haibo Zhang 008; Kouichi Sakurai (IEEE Access, 2021)

Eliminating Adversarial Perturbations Using Image-to-Image Translation Method. - Haibo Zhang 008; Zhihua Yao; Kouichi Sakurai (ACNS Workshops, 2023)

POSTER: A Fine-Grained Metric for Evaluating the Performance of Adversarial Attacks and Defenses. - Haibo Zhang 008; Zhihua Yao; Kouichi Sakurai (ACNS Workshops, 2023)

A Design of Network Attack Detection Using Causal and Non-causal Temporal Convolutional Network. - Pengju He; Haibo Zhang 008; Yaokai Feng; Kouichi Sakurai (SciSec, 2023)

A Review on Machine Unlearning. - Haibo Zhang 008; Toru Nakamura; Takamasa Isohara; Kouichi Sakurai (SN Comput. Sci., 2023)

Experimental Exploration of the Power of Conditional GAN in Image Reconstruction-Based Adversarial Attack Defense Strategies. - Haibo Zhang 008; Kouichi Sakurai (AINA (3), 2024)

One Pixel Adversarial Attack for Fooling Deep Learning-Based Facial Expression Recognition Systems. - Pramod Kumar; Ayan Seal; Sraban Kumar Mohanty; Haibo Zhang 008; Kouichi Sakurai (DSC, 2024)

Versatile Defense Against Adversarial Attacks on Image Recognition. - Haibo Zhang 008; Zhihua Yao; Kouichi Sakurai (CoRR, 2024)

Detecting Advanced Persistent Threat Exfiltration With Ensemble Deep Learning Tree Models and Novel Detection Metrics. - Xiaojuan Cai; Haibo Zhang 008; Chuadhry Mujeeb Ahmed; Hiroshi Koide (IEEE Access, 2025)

Leveraging Generalizability of Image-to-Image Translation for Enhanced Adversarial Defense. - Haibo Zhang 008; Zhihua Yao; Kouichi Sakurai; Takeshi Saitoh (CoRR, 2025)