Yixuan Liu

According to our database, Yixuan Liu authored at least 8 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy.

Yuhan Liu, Tianhao Wang, Yixuan Liu, Hong Chen, Cuiping Li

IEEE Trans. Knowl. Data Eng., October, 2024

Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction.

Yuhan Liu, Sheng Wang, Yixuan Liu, Feifei Li, Hong Chen

Proc. VLDB Endow., October, 2024

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise.

Yuhan Liu, Sheng Wang, Yixuan Liu, Feifei Li, Hong Chen

CoRR, 2024

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning.

Yixuan Liu, Li Xiong, Yuhan Liu, Yujie Gu, Ruixuan Liu, Hong Chen

CoRR, 2024

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy.

Yixuan Liu, Yuhan Liu, Li Xiong, Yujie Gu, Hong Chen

Proceedings of the 33rd ACM International Conference on Information and Knowledge Management, 2024

2023

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model.

Yixuan Liu, Suyun Zhao, Li Xiong, Yuhan Liu, Hong Chen

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Improving Parameter Estimation and Defensive Ability of Latent Dirichlet Allocation Model Training Under Rényi Differential Privacy.

Tao Huang, Su-Yun Zhao, Hong Chen, Yixuan Liu

J. Comput. Sci. Technol., 2022

Collecting Triangle Counts with Edge Relationship Local Differential Privacy.

Yuhan Liu, Suyun Zhao, Yixuan Liu, Dan Zhao, Hong Chen, Cuiping Li

Proceedings of the 38th IEEE International Conference on Data Engineering, 2022