Collecting Triangle Counts with Edge Relationship Local Differential Privacy. - Yuhan Liu; Suyun Zhao; Yixuan Liu 002; Dan Zhao 009; Hong Chen 001; Cuiping Li 001 (ICDE, 2022)

Improving Parameter Estimation and Defensive Ability of Latent Dirichlet Allocation Model Training Under Rényi Differential Privacy. - Tao Huang; Su-Yun Zhao; Hong Chen 001; Yixuan Liu 002 (J. Comput. Sci. Technol., 2022)

Echo of Neighbors: Privacy Amplification for Personalized Private Federated Learning with Shuffle Model. - Yixuan Liu 002; Suyun Zhao; Li Xiong 001; Yuhan Liu; Hong Chen 001 (AAAI, 2023)

Enhanced Privacy Bound for Shuffle Model with Personalized Privacy. - Yixuan Liu 002; Yuhan Liu; Li Xiong 001; Yujie Gu; Hong Chen 001 (CIKM, 2024)

DPDR: Gradient Decomposition and Reconstruction for Differentially Private Deep Learning. - Yixuan Liu 002; Li Xiong 001; Yuhan Liu; Yujie Gu; Ruixuan Liu; Hong Chen 001 (CoRR, 2024)

Unleash the Power of Ellipsis: Accuracy-enhanced Sparse Vector Technique with Exponential Noise. - Yuhan Liu; Sheng Wang; Yixuan Liu 002; Feifei Li; Hong Chen 001 (CoRR, 2024)

Accuracy-enhanced Sparse Vector Technique with Exponential Noise and Optimal Threshold Correction. - Yuhan Liu; Sheng Wang; Yixuan Liu 002; Feifei Li; Hong Chen 001 (Proc. VLDB Endow., 2024)

Edge-Protected Triangle Count Estimation Under Relationship Local Differential Privacy. - Yuhan Liu; Tianhao Wang 001; Yixuan Liu 002; Hong Chen 001; Cuiping Li 001 (IEEE Trans. Knowl. Data Eng., 2024)