Jie Fu - RankMe

19 papers A* 3B 1C 1Journal 13Unranked 1

Year	Rank	Type	Title / Venue / Authors
2025	C	`conf`	ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations. WoWMoM Xinpeng Ling, Jie Fu, Kuncan Wang, Haitao Liu, Zhili Chen
2025	J	`jnl`	EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression. CoRR Tong Cheng, Jie Fu, Xinpeng Ling, Huifa Li, Zhili Chen
2025	A*	`conf`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. USENIX Security Symposium Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	J	`jnl`	Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective. CoRR Nima Naderloui, Shenao Yan, Binghui Wang, Jie Fu, Wendy Hui Wang, Weiran Liu, Yuan Hong
2025	A*	`conf`	Safeguarding Graph Neural Networks against Topology Inference Attacks. CCS Jie Fu, Yuan Hong, Zhili Chen, Wendy Hui Wang
2025	J	`jnl`	Safeguarding Graph Neural Networks against Topology Inference Attacks. CoRR Jie Fu, Hong Yuan, Zhili Chen, Wendy Hui Wang
2025	J	`jnl`	scAGC: Learning Adaptive Cell Graphs with Contrastive Guidance for Single-Cell Clustering. CoRR Huifa Li, Jie Fu, Xinlin Zhuang, Haolin Yang, Xinpeng Ling, Tong Cheng, Haochen Xue, Imran Razzak, Zhili Chen
2024	—	`conf`	DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering. ICIC (LNBI 1) Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling
2024	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. Proc. VLDB Endow. Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2024	J	`jnl`	Differentially Private Federated Learning: A Systematic Review. CoRR Jie Fu, Yuan Hong, Xinpeng Ling, Leixia Wang, Xun Ran, Zhiyu Sun, Wendy Hui Wang, Zhili Chen, Yang Cao
2024	A*	`conf`	Differentially Private Graph Neural Networks for Link Prediction. ICDE Xun Ran, Qingqing Ye, Haibo Hu, Xin Huang, Jianliang Xu, Jie Fu
2024	J	`jnl`	FedFDP: Federated Learning with Fairness and Differential Privacy. CoRR Xinpeng Ling, Jie Fu, Zhili Chen, Kuncan Wang, Huifa Li, Tong Cheng, Guanying Xu, Qin Li
2023	J	`jnl`	Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis. CoRR Xinpeng Ling, Jie Fu, Zhili Chen
2023	J	`jnl`	DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-cell Clustering. CoRR Huifa Li, Jie Fu, Zhili Chen, Xiaomin Yang, Haitao Liu, Xinpeng Ling
2023	J	`jnl`	DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release. CoRR Jie Fu, Qingqing Ye, Haibo Hu, Zhili Chen, Lulu Wang, Kuncan Wang, Xun Ran
2023	J	`jnl`	Truncated Laplace and Gaussian mechanisms of RDP. CoRR Jie Fu, Zhiyu Sun, Haitao Liu, Zhili Chen
2022	B	`conf`	Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise. TrustCom Jie Fu, Zhili Chen, Xiao Han
2022	J	`jnl`	Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise. CoRR Jie Fu, Zhili Chen, Xiao Han
2022	J	`jnl`	SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing. CoRR Jie Fu, Zhili Chen, Xinpeng Ling