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Peilin He

Peilin He

Ph.D. student in Information Science
Department of Informatics and Networked Systems
Laboratory for Education and Research on Security Assured Information Systems
School of Computing and Information
University of Pittsburgh

About Me

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I am a Ph.D. student researcher at the University of Pittsburgh, Laboratory of Education and Research on Security Assured Information Systems (LERSAIS), my Ph.D. advisor is Dr. James Joshi My research include but not limited to: Differential Privacy, Machine Learning, Trust and Privacy for Agentic-AI, Federated Learning, Riemannian Manifolds, Topological Analysis, 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. I served as the Web Chair for 2024 & 2025 IEEE International Conference on Collaboration and Internet Computing, 2024 & 2025 IEEE International Conference on Cognitive Machine Intelligence and 2024 & 2025IEEE 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

Publications (by Year)

2025

PPFL-RDSN: Privacy-Preserving Federated Learning-based Residual Dense Spatial Networks for Encrypted Lossy Image Reconstruction

Peilin He1st, James Joshi
arXiv:2507.00230
https://doi.org/10.48550/arXiv.2507.00230

Conformal-DP: Differential Privacy on Riemannian Manifolds via Conformal Transformation

Peilin He1st, Liou Tang, M. Amin Rahimian, James Joshi
arXiv:2504.20941
DOI: 10.48550/arXiv.2504.20941
2024

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)

DPFedBank: Crafting a Privacy-Preserving Federated Learning Framework for Financial Institutions with Policy Pillars

Peilin He1st, Chenkai Lin, Isabella Montoya
arXiv preprint arXiv: https://doi.org/10.48550/arXiv.2410.13753

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
2023

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. Vol. 75 Issue 3, p5743-5759

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
2022

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
2020

An improved quantum identity authentication protocol for multi-party secure communication

Peilin He1st, Yuanyuan Huang, Jialing Dai, Shibin Zhang
Artificial Intelligence and Security. ICAIS 2020. Lecture Notes in Computer Science, vol 12240

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
2019

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

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