On Privacy Protection of Latent Dirichlet Allocation Model Training

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On Privacy Protection of Latent Dirichlet Allocation Model Training

4 June 2019

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Papers citing "On Privacy Protection of Latent Dirichlet Allocation Model Training"

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Title
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis Yanan Li Xuebin Ren Shusen Yang Xinyu Yang 36 17 0 05 Jun 2019
LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy Xuebin Ren Chia-Mu Yu Weiren Yu Shusen Yang Xinyu Yang Julie McCann Philip S. Yu 39 108 0 13 Dec 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 66 42 0 01 Nov 2016
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 266 4,152 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 6,155 0 01 Jul 2016
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis James R. Foulds J. Geumlek Max Welling Kamalika Chaudhuri 62 102 0 23 Mar 2016
Privacy for Free: Posterior Sampling and Stochastic Gradient Monte Carlo Yu Wang S. Fienberg Alex Smola 62 249 0 26 Feb 2015
LightLDA: Big Topic Models on Modest Compute Clusters Jinhui Yuan Fei Gao Qirong Ho Wei-Ming Dai Jinliang Wei Xun Zheng Eric Xing Tie-Yan Liu Wei-Ying Ma MoE AI4CE 132 177 0 04 Dec 2014
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 137 1,490 0 01 Dec 2009