DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in
Privacy-Preserving ERM

DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM

28 June 2019

Bao Wang

Quanquan Gu

Stanley J. Osher

Papers citing "DP-LSSGD: A Stochastic Optimization Method to Lift the Utility in Privacy-Preserving ERM"

9 / 9 papers shown

Title
Differentially Private 2D Human Pose Estimation Kaushik Bhargav Sivangi Idris Zakariyya Paul Henderson F. Deligianni 166 0 0 14 Apr 2025
DiSK: Differentially Private Optimizer with Simplified Kalman Filter for Noise Reduction Xinwei Zhang Zhiqi Bu Borja Balle Mingyi Hong Meisam Razaviyayn Vahab Mirrokni 76 2 0 04 Oct 2024
Protecting User Privacy in Remote Conversational Systems: A Privacy-Preserving framework based on text sanitization Zhigang Kan Linbo Qiao Hao Yu Liwen Peng Yifu Gao Dongsheng Li 28 20 0 14 Jun 2023
On the Fairness Impacts of Private Ensembles Models Cuong Tran Ferdinando Fioretto 41 4 0 19 May 2023
Adaptive Differentially Private Empirical Risk Minimization Xiaoxia Wu Lingxiao Wang Irina Cristali Quanquan Gu Rebecca Willett 38 6 0 14 Oct 2021
Selective Differential Privacy for Language Modeling Weiyan Shi Aiqi Cui Evan Li R. Jia Zhou Yu 20 68 0 30 Aug 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 21 71 0 04 Jul 2021
Laplacian Smoothing Gradient Descent Stanley Osher Bao Wang Penghang Yin Xiyang Luo Farzin Barekat Minh Pham A. Lin ODL 22 43 0 17 Jun 2018
Local Differential Privacy for Physical Sensor Data and Sparse Recovery A. Gilbert Audra McMillan 18 5 0 31 May 2017