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Privacy-preserving Non-negative Matrix Factorization with Outliers

2 November 2022

Papers citing "Privacy-preserving Non-negative Matrix Factorization with Outliers"

20 / 20 papers shown

Title
Membership Inference Attacks on Machine Learning: A Survey Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Philip S. Yu Xuyun Zhang MIACV 114 440 0 14 Mar 2021
Fast and Secure Distributed Nonnegative Matrix Factorization Yuqiu Qian Conghui Tan Danhao Ding Hui Li N. Mamoulis 65 12 0 07 Sep 2020
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 127 1,624 0 01 Nov 2019
Deep Leakage from Gradients Ligeng Zhu Zhijian Liu Song Han FedML 100 2,225 0 21 Jun 2019
Differentially Private Learning with Adaptive Clipping Galen Andrew Om Thakkar H. B. McMahan Swaroop Ramaswamy FedML 84 343 0 09 May 2019
Privacy Amplification by Subsampling: Tight Analyses via Couplings and Divergences Borja Balle Gilles Barthe Marco Gaboardi 84 392 0 04 Jul 2018
Differentially Private Empirical Risk Minimization Revisited: Faster and More General Di Wang Minwei Ye Jinhui Xu 119 272 0 14 Feb 2018
Accuracy First: Selecting a Differential Privacy Level for Accuracy-Constrained ERM Katrina Ligett Seth Neel Aaron Roth Bo Waggoner Zhiwei Steven Wu 55 94 0 30 May 2017
Renyi Differential Privacy Ilya Mironov 88 1,266 0 24 Feb 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 272 4,159 0 18 Oct 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,162 0 01 Jul 2016
Online Nonnegative Matrix Factorization with Outliers Renbo Zhao Vincent Y. F. Tan 89 47 0 10 Apr 2016
Differentially Private Distributed Online Learning Chencheng Li Pan Zhou FedML 70 75 0 25 May 2015
Fast Differentially Private Matrix Factorization Ziqi Liu Yu Wang Alex Smola FedML 99 124 0 06 May 2015
Differential Privacy and Machine Learning: a Survey and Review Zhanglong Ji Zachary Chase Lipton Charles Elkan SyDa 59 259 0 24 Dec 2014
Nonlinear hyperspectral unmixing with robust nonnegative matrix factorization Cédric Févotte N. Dobigeon 134 186 0 22 Jan 2014
Differentially Private Filtering Jérôme Le Ny George J. Pappas 76 363 0 18 Jul 2012
Near-Optimal Algorithms for Differentially-Private Principal Components Kamalika Chaudhuri Anand D. Sarwate Kaushik Sinha 99 158 0 12 Jul 2012
Robust Nonnegative Matrix Factorization via $L_1$ Norm Regularization Bin Shen Luo Si Rongrong Ji Baodi Liu 94 52 0 11 Apr 2012
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 156 1,490 0 01 Dec 2009