About Me
I am a 2nd year Ph.D. student at the University of Pittsburgh, conducting research in Differential Privacy, Machine Learning,
Federated Learning, Riemannian Manifolds, Conformal Field Theory, etc.
I hold positions as a researcher at the European Information Technologies Certification Institute in
Brussels, EU, and as a member of the Pittsburgh Quantum Institute. The Quantum Standards Group brings
together a community of international experts in various fields who share a common interest in quantum
technology and the development of industry specifications and standards. In addition, I served as a reviewer
for the 18th International Computer Conference on Wavelet Active Media Technology and Information
Processing, track ICCWAMTIP2021, and as a guest editor for the Hindawi Journal. In addition, I served on the
Organizational Committee for the 2024 IEEE International Conference on Collaboration and Internet Computing,
2024 IEEE International Conference on Cognitive Machine Intelligence and 2024 IEEE International Conference
on Trust, Privacy and Security in Intelligent Systems, and Applications; I volunteered to organize 2024 IEEE
Security and Development Conference & IEEE Digital Privacy Workshop.
Information
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My Google Scholar:
Here
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My academic CV can be viewed:
Here
Publications (by Year)
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SpiderWeb Protector: Biomimetic Defense Against Targeted Attacks on Graph Neural Networks
~Zeyu Zhou, Yuanyuan Huang, Yongli Wang, Siyu Li, Jiazhong Lu and Peilin He
21th International Computer Conference on Wavelet Active Media Technology and Information Processing (ICCWAMTIP), 2024. -
DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillarsk
~Peilin He, Chenkai Lin, Isabella Montoya
arXiv preprint arXiv:2410.13753, 2024. -
URL Detection Based on Quantum Long Short-Term Memory Neural Network
~Shihao Zhu, Yuanyuan Huang, Linglong Huang, Siyu Li, Peilin He.
Scholars Journal of Engineering and Technology. DOI: 10.36347/sjet.2024.v12i05.001. 2024. -
Request Response-Based Convolutional Neural Network for ICS Network Traffic Anomaly Detection.
~Yan Du; Shibin Zhang; Guogen Wan; Daohua Zhou; Jiazhong Lu; Yuanyuan Huang; Xiaoman Cheng; Yi Zhang; Peilin He.
Materials & Continua. 2023, Vol. 75 Issue 3, p5743-5759. 17p. 2023. -
Research on Teaching Reform and Practice of Discrete Mathematics Course in Information Security Major
~Yuanyuan Huang, Peilin He, Haozhe Tang,
Scholars Journal of Arts, Humanities and Social Sciences 11 (03), 54-57, 2023. -
Deep Learning-Based Cyber–Physical Feature Fusion for Anomaly Detection in Industrial Control Systems.
~Yan Du, Yuanyuan Huang, Guogen Wan, Peilin He.
Mathematics 2022, 10(22), 4373. -
RepMDN: Re-Parameterization Multi-View Deformation Network for 3D Reconstruction.
~Li Bo, Zhang Shibin, Wan Guogen, Zhou Daohua, Huang Yuanyuan, Li Chaorong, He Peilin.
ICCWAMTIP, doi: 10.1109/ICCWAMTIP56608.2022.10016497 12/2022 -
An improved quantum identity authentication protocol for multi-party secure communication.
~Peilin He, Yuanyuan Huang, Jialing Dai, Shibin Zhang.
Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_23 . -
User Behavior Credibility Evaluation Model Based on Intuitionistic Fuzzy Analysis Hierarchy Process.
~Chen Yang, Guogen Wan, Peilin He, Yuanyuan Huang, Shibin Zhang.
Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science(), vol 12240. Springer, Cham. https://doi.org/10.1007/978-3-030-57881-7_2 . -
Research on Architecture of Risk Assessment System Based on Block Chain.
~Yang Zhao, Shibin Zhang, Min Yang, Peilin He, Qirun Wang.
Computers, Materials & Continua, CMC, vol.61, no.2, pp.677-686, 2019.