HoGS: Homophily-Oriented Graph Synthesis for Local Differentially Private GNN Training
Authors: Wen Xu, Zhetao Li, Yong Xiao, Pengpeng Qiao, Mianxiong Dong, Kaoru Ota | Published: 2026-02-09
Privacy-Preserving Algorithm
Spectral Perturbation Bounds for Low-Rank Approximation with Applications to Privacy
Authors: Phuc Tran, Nisheeth K. Vishnoi, Van H. Vu | Published: 2025-10-29
Private Stochastic Convex Optimization: Optimal Rates in $\ell_1$ Geometry
Authors: Hilal Asi, Vitaly Feldman, Tomer Koren, Kunal Talwar | Published: 2021-03-02
Data Heterogeneity Differential Privacy: From Theory to Algorithm
Authors: Yilin Kang, Jian Li, Yong Liu, Weiping Wang | Published: 2020-02-20 | Updated: 2023-01-28
An Adaptive and Fast Convergent Approach to Differentially Private Deep Learning
Authors: Zhiying Xu, Shuyu Shi, Alex X. Liu, Jun Zhao, Lin Chen | Published: 2019-12-19
Privacy-Preserving Gradient Boosting Decision Trees
Authors: Qinbin Li, Zhaomin Wu, Zeyi Wen, Bingsheng He | Published: 2019-11-11 | Updated: 2022-10-10
Collaborative Homomorphic Computation on Data Encrypted under Multiple Keys
Authors: Asma Aloufi, Peizhao Hu | Published: 2019-11-11
Preservation of Anomalous Subgroups On Machine Learning Transformed Data
Authors: Samuel C. Maina, Reginald E. Bryant, William O. Goal, Robert-Florian Samoilescu, Kush R. Varshney, Komminist Weldemariam | Published: 2019-11-09
Duet: An Expressive Higher-order Language and Linear Type System for Statically Enforcing Differential Privacy
Authors: Joseph P. Near, David Darais, Chike Abuah, Tim Stevens, Pranav Gaddamadugu, Lun Wang, Neel Somani, Mu Zhang, Nikhil Sharma, Alex Shan, Dawn Song | Published: 2019-09-05
Differentially Private ADMM for Distributed Medical Machine Learning
Authors: Jiahao Ding, Xiaoqi Qin, Wenjun Xu, Yanmin Gong, Chi Zhang, Miao Pan | Published: 2019-01-07 | Updated: 2020-12-09