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ORCIDJie Fu 0003
Person information
- affiliation: Stevens Institute of Technology, Hoboken, NJ, USA
- affiliation (former): East China Normal University, Shanghai Key Laboratory of Trustworthy Computing, Shanghai, China
Other persons with the same name
- Jie Fu — disambiguation page
- Jie Fu 0001
![[0000-0002-4494-843X]](https://dblp.org/img/orcid-mark.12x12.png "0000-0002-4494-843X")
— Shanghai AI Lab, China (and 4 more) - Jie Fu 0002 — University of Florida, Department of Electrical and Computer Engineering, Gainesville, FL, USA (and 4 more)
- Jie Fu 0004 — Nanjing University of Posts and Telecommunications, Nanjing, China
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2020 – today
- 2025
[c6]Jie Fu, Yuan Hong, Zhili Chen, Wendy Hui Wang:
Safeguarding Graph Neural Networks against Topology Inference Attacks. CCS 2025: 2144-2158- [c5]Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong:
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. USENIX Security Symposium 2025: 5545-5564 - [c4]Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen:
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations. WoWMoM 2025: 349-358 - [i12]Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen:
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression. CoRR abs/2505.15140 (2025) - [i11]Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong:
Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. CoRR abs/2506.13009 (2025) - [i10]Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen:
scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. CoRR abs/2508.09180 (2025) - [i9]Jie Fu, Hong Yuan, Zhili Chen, Wendy Hui Wang:
Safeguarding Graph Neural Networks against Topology Inference Attacks. CoRR abs/2509.05429 (2025) - 2024
- [j1]Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran:
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. 17(6): 1200-1213 (2024) - [c3]Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu:
Differentially Private Graph Neural Networks for Link Prediction. ICDE 2024: 1632-1644 - [c2]Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling:
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. ICIC (LNBI 1) 2024: 380-392 - [i8]Xinpeng Ling, Jie Fu, Zhili Chen, Kuncan Wang, Huifa Li, Tong Cheng, Guanying Xu, Qin Li:
FedFDP: Federated Learning with Fairness and Differential Privacy. CoRR abs/2402.16028 (2024) - [i7]Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao:
Differentially Private Federated Learning: A Systematic Review. CoRR abs/2405.08299 (2024) - 2023
- [i6]Xinpeng Ling, Jie Fu, Zhili Chen:
Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis. CoRR abs/2308.10457 (2023) - [i5]Jie Fu, Zhiyu Sun, Haitao Liu, Zhili Chen:
Truncated Laplace and Gaussian mechanisms of RDP. CoRR abs/2309.12647 (2023) - [i4]Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling:
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering. CoRR abs/2311.03410 (2023) - [i3]Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran:
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. CoRR abs/2311.14056 (2023) - 2022
- [c1]Jie Fu, Zhili Chen, Xiao Han:
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise. TrustCom 2022: 656-663 - [i2]Jie Fu, Zhili Chen, Xinpeng Ling:
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing. CoRR abs/2211.07218 (2022) - [i1]Jie Fu, Zhili Chen, Xiao Han:
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise. CoRR abs/2211.15893 (2022)
Coauthor Index
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