Towards Plausible Differentially Private ADMM Based Distributed Machine
Learning

Towards Plausible Differentially Private ADMM Based Distributed Machine Learning

11 August 2020

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Papers citing "Towards Plausible Differentially Private ADMM Based Distributed Machine Learning"

11 / 11 papers shown

Title
Differentially Private and Fair Classification via Calibrated Functional Mechanism Jiahao Ding Xinyue Zhang Xiaohuan Li Junyi Wang Rong Yu Miao Pan FaML 51 39 0 14 Jan 2020
Differentially Private Model Publishing for Deep Learning Lei Yu Ling Liu C. Pu Mehmet Emre Gursoy Stacey Truex FedML 71 265 0 03 Apr 2019
Differentially Private ADMM for Distributed Medical Machine Learning Jiahao Ding Xiaoqi Qin Wenjun Xu Yanmin Gong Zhu Han Miao Pan FedML 63 20 0 07 Jan 2019
Recycled ADMM: Improve Privacy and Accuracy with Less Computation in Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu 71 30 0 07 Oct 2018
DP-ADMM: ADMM-based Distributed Learning with Differential Privacy Zonghao Huang Rui Hu Yuanxiong Guo Eric Chan-Tin Yanmin Gong FedML 63 196 0 30 Aug 2018
Improving the Privacy and Accuracy of ADMM-Based Distributed Algorithms Xueru Zhang Mohammad Mahdi Khalili M. Liu FedML 99 91 0 06 Jun 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 155 1,478 0 10 May 2018
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 263 4,152 0 18 Oct 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 839 0 06 May 2016
Understanding the Sparse Vector Technique for Differential Privacy Min Lyu D. Su Ninghui Li 46 166 0 05 Mar 2016
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 137 1,490 0 01 Dec 2009

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