🧐 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 visiting student at the University of Connecticut (under the supervision of Prof. Yuan Hong).I also 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

• In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning
  Shan Huang, Zhijing Ye, Jiamin Wang, Zhaorui Zhang, Jie Fu, Wendy Hui Wang, Sheng Di, Xiaodong Yu
  The 56th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), 2026

• Revisiting Privacy Leakage in Machine Unlearning: Membership Inference Beyond the Forgotten Set. [PDF]
  Jie Fu, Nima Naderloui, Da Zhong, Yuan Hong, Wendy Hui Wang
  11th IEEE European Symposium on Security and Privacy (Euro S&P), 2026 (Acceptance Rate: 50/460=11.7%)

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

• FedFDP: Fairness-Aware Federated Learning with Differential Privacy. [PDF]
  Xingpeng Ling, Jie Fu (co-first author), 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. [PDF]
  Tong Cheng, Jie Fu (co-corresponding author), 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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  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. [PDF]
  Long Youqun, Jianhui Zhang, Gaoli Wang, Jie Fu.
  Electronic Research Archive, 2023

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

📖 Educations

• 2024.08 - Now, PHD, Stevens Institute of Technology, Hoboken, USA.
• 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

Out of research, I’m a huge sports enthusiast with a broad range of interests. I’m passionate about sports, especially tennis, soccer and snowboarding. I also engoy music, especially singing while accompanying myself on gituar.

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

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

🎧 Monthly Song

Last updated on: 2026.05