🧐 About Me

Hi, I am pursuing my PhD at the Stevens Institute of Technology, advised by Prof. Wendy Hui Wang. Before that, I got my master degree from East China Normal University, under the supervision of Prof. Zhili Chen. I have worked as a research assistant at the Hong Kong Polytechnic University (under the supervision of Prof. Haibo Hu and Dr. Qingqing Ye ) and Hokkaido University (under the supervision of Dr. Yang Cao).

👋 CONTACT ME: jfu13 AT stevens.edu

👋 RedNote（小红书）: JeffffffFu

🤔 Research Interests:

• Differential Privacy
• Federated Learning
• Privacy in GNNs
• Machine Unlearning
• Privacy and Safety of LLM
• Trustworthy Machine Learning (fairness, privacy and robustness)

🔥 News

📝 Publications

• Differentially Private Federated Learning: A Systematic Review.
  Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao
  ACM Computing Surveys

• FedFDP: Fairness-Aware Federated Learning with Differential Privacy
  Xingpeng Ling, Jie Fu, Kuncan Wang, Huifa Li, Tong Cheng and Zhili Chen.
  24th Internation Conference on Applied Cryptogragy and Network Security (ACNS), 2026.

• EC-LDA: Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression
  Tong Cheng, Jie Fu, Xingpeng Ling, Huifa Li, Zhili Chen, Haifeng Qian and Junqing Gong.
  25th IEEE International Conference on Data Mining (ICDM), 2025.

• Safeguarding Graph Neural Networks against Topology Inference Attacks
  Jie Fu, Yuan Hong, Zhili Chen and Wendy Hui Wang.
  In Proceedings of the 32nd ACM Conference on Computer and Communications Security (ACM CCS), 2025

• Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective
  Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu and Yuan Hong.
  34th USENIX Security Symposium (USENIX Security), 2025.

• Secure logistic regression training based on fully homomorphic encryption
  Shiwen Wei; Zhili Chen; Xin Chen; Benchang Dong; Yizheng Ren; Jie Fu.
  International Journal of Information and Computer Security (IJICS), 2025

• PCEvolve: Private Contrastive Evolution for Synthetic Dataset Generation via Few-Shot Private Data and Generative APIs.
  Jianqing Zhang, Yan Liu, Jie Fu, Yang Hua, Tianyuan Zou, Jian Cao, Qiang Yang.
  The International Conference on Machine Learning (ICML), 2025

• Single-cell Curriculum Learning-based Deep Graph Embedding Clustering.
  Huifa Li, Jie Fu, Xinpeng Ling, Zhiyu Sun, Kuncan Wang, Zhili Chen.
  International Conference on Bioinformatics and Biomedicine (BIBM), 2024

• DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering.
  Huifa Li, Jie Fu (co-first author), Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling.
  International Conference on Intelligent Computing (ICIC), 2024

• DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
  Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Ran Xun.
  International Conference on Very Large Data Bases Conference (VLDB), 2024

• Differentially Private Graph Neural Networks for Link Prediction.
  Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu.
  IEEE International Conference on Data Engineering (ICDE), 2024

• ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations.
  Xinpeng Ling, Jie Fu (co-first author), Kuncan Wang, Haitao Liu, Zhili Chen.
  IEEE International Symposium on World of Wireless Mobile and Multimedia Networks (WoWMoM), 2024

• Hierarchical federated learning with global differential privacy.
  Long Youqun, Jianhui Zhang, Gaoli Wang, Jie Fu.
  Electronic Research Archive, 2023

• Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise.
  Jie Fu, Zhili Chen, Xiao Han.
  IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom), 2022

📖 Educations

• 2021.09 - 2024.05, Master, East China Normal University, Shanghai, China.
• 2014.09 - 2018.06, Undergraduate, Huaqiao University, Quanzhou, China.

🏆 Honors and Awards

• Outstanding Master Graduate of Shanghai, 2024.
• Outstanding Master’s Thesis of East China Normal University, 2024.

💻 Internships

• 2024.04 - 2024.09, INF, LLM Intern, Shanghai.
• 2024.01 - 2024.04, Hokkaidao University, Research Assistant, Hokkaidao.
• 2023.03 - 2023.11, PolyU, Research Assistant, Hongkong.
• 2022.02 - 2023.02, Geely, Blockchain Privacy Computing Intern, Shanghai.
• 2018.07 - 2021.08, YLZ, Internet Product Manager (Full-time job), Xiamen.
• 2018.01 - 2018.06, Shimao, Management Trainee of Real Estate Consultant , Quanzhou.

✒️ Professional Service

Journal Reviewer

• IEEE Transactions on Dependable and Secure Computing (TDSC)
• IEEE Transactions on Information Forensics and Security (TIFS)
• Future Generation Computer Systems

Conference Reviewer

• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)
• The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
• International Joint Conference on Neural Networks (IJCNN)

⚽ Hobbies

• Soccer, college team captain.
• Guitar, club guitar instructor of college.
• Tennis, 3.5.
• Snowboarding/Skiing, blue.

Other activities I engage in include badminton, volleyball, swimming, squash, billiards, chinese chess, piano and so on.

🎧 Monthly Song

Last updated on: 2026.01