Rectifying Privacy and Efficacy Measurements in Machine Unlearning: A New Inference Attack Perspective.
CoRR, June, 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression.
CoRR, May, 2025
ALI-DPFL: Differentially Private Federated Learning with Adaptive Local Iterations.
Proceedings of the 25th IEEE International Symposium on a World of Wireless, 2025
DPSUR: Accelerating Differentially Private Stochastic Gradient Descent Using Selective Update and Release.
Proc. VLDB Endow., February, 2024
Differentially Private Federated Learning: A Systematic Review.
CoRR, 2024
FedFDP: Federated Learning with Fairness and Differential Privacy.
CoRR, 2024
DP-DCAN: Differentially Private Deep Contrastive Autoencoder Network for Single-Cell Clustering.
Proceedings of the Advanced Intelligent Computing in Bioinformatics, 2024
Differentially Private Graph Neural Networks for Link Prediction.
Proceedings of the 40th IEEE International Conference on Data Engineering, 2024
Truncated Laplace and Gaussian mechanisms of RDP.
CoRR, 2023
Adaptive Local Steps Federated Learning with Differential Privacy Driven by Convergence Analysis.
CoRR, 2023
SA-DPSGD: Differentially Private Stochastic Gradient Descent based on Simulated Annealing.
CoRR, 2022
Adap DP-FL: Differentially Private Federated Learning with Adaptive Noise.
Proceedings of the IEEE International Conference on Trust, 2022