🧐 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 scholar 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

🤔 Research Interests:

Differential Privacy, Federated Learning, Privacy in GNNs, Machine Unlearning, Privacy and Safety of LLM, Security of Coding Agent

🔥 News

📝 Publications

• NeurIPS’26 SMI: Statistical Membership Inference for Reliable Unlearned Model Auditing
  Jialong Sun, Zeming Wei, Jiaxuan Zou, Jiacheng Gong, Chengyang Dong, Jie Fu, Heng Xu, Jialong Li, Bo Liu
  The Fortieth Annual Conference on Neural Information Processing Systems(NeurIPS), 2026

• EMNLP’26 Towards Fine-grained and Robust Detection of Human–AI Co-authorship
  Ziruo Zhao, Jie Fu, Wendy Hui Wang, Zining Zhu
  The 2026 Conference on Empirical Methods in Natural Language Processing(EMNLP), 2026

• ECML-PKDD’26 Protecting K-Nearest Neighbor Queries from Location Inference Attacks [PDF]
  Zhiyu Sun, Jie Fu (co-first author), Xinpeng Ling, Huifa Li, Zhili Chen
  European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD), 2026

• DSN’26 In-Depth Exploration of Differentially Private Quantization for Privacy-Preserving and Communication-Efficient Federated Learning [PDF]
  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

• Euro S&P’26 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%)

• CSUR 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)

• ACNS’26 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.

• ICDM’25 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.

• ACM CCS’25 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

• USENIX Security’25 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.

• IJICS’25 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

• ICML’25 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

• BIBM’24 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

• ICIC’24 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

• VLDB’24 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

• ICDE’24 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

• WoWMoM’24 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

• TrustCom’22 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

• Noteworthy Reviewer Recognition for USENIX Security’26 Artifact Evaluation, 2026.
• Chinese Government Award for Outstanding Students Abroad, 2026.
• 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)
• IEEE Transactions on Moblie Computing (TMC)
• Neurocomputing

Conference Reviewer

• USENIX Security Symposium (USENIX Security)’27
• ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD)’26
• The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)’26
• The Fortieth Annual Conference on Neural Information Processing Systems (NIPS)’26
• Association for the Advancement of Artificial Intelligence (AAAI)’26
• International Symposium on Research in Attacks, Intrusions and Defenses (RAID)’26

⚽ 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 or pinao.

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

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

🎧 Monthly Song

I keep a record of the songs I hear each month that move me or that I find really enjoyable.

📺 Annual Movies & TV

I keep a record of the movies and TV shows that left a lasting impression on me every year.

Last updated on: 2026.09