LoPub: High-Dimensional Crowdsourced Data Publication with Local
Differential Privacy

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LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy

13 December 2016

Philip S. Yu

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Papers citing "LoPub: High-Dimensional Crowdsourced Data Publication with Local Differential Privacy"

19 / 19 papers shown

Title
Privacy-Utility Trades in Crowdsourced Signal Map Obfuscation Jiang Zhang Lillian Clark Matthew A. Clark Konstantinos Psounis Peter Kairouz 65 6 0 13 Jan 2022
AHEAD: Adaptive Hierarchical Decomposition for Range Query under Local Differential Privacy L. Du Zhikun Zhang Shaojie Bai Changchang Liu S. Ji Peng Cheng Jiming Chen 142 38 0 14 Oct 2021
Trustworthy AI: From Principles to Practices Yue Liu Peng Qi Bo Liu Shuai Di Jingen Liu Jiquan Pei Jinfeng Yi Bowen Zhou 209 380 0 04 Oct 2021
A Comprehensive Survey on Local Differential Privacy Toward Data Statistics and Analysis Teng Wang Xuefeng Zhang Xuefeng Zhang Xinyu Yang 96 88 0 11 Oct 2020
Latent Dirichlet Allocation Model Training with Differential Privacy Fangyuan Zhao Xuebin Ren Shusen Yang Qing Han Peng Zhao Xinyu Yang 54 28 0 09 Oct 2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data Xuebin Ren Chia-Mu Yu Wei Yu Xinyu Yang Jun Zhao Shusen Yang 58 6 0 29 Sep 2020
Local Differential Privacy and Its Applications: A Comprehensive Survey Mengmeng Yang Lingjuan Lyu Jun Zhao Tianqing Zhu Kwok-Yan Lam 89 146 0 09 Aug 2020
Privacy-preserving Artificial Intelligence Techniques in Biomedicine Reihaneh Torkzadehmahani Reza Nasirigerdeh David B. Blumenthal T. Kacprowski M. List ... Harald H. H. W. Schmidt A. Schwalber Christof Tschohl Andrea Wohner Jan Baumbach 83 60 0 22 Jul 2020
Distributionally-Robust Machine Learning Using Locally Differentially-Private Data F. Farokhi FedML OOD 66 8 0 24 Jun 2020
BiSample: Bidirectional Sampling for Handling Missing Data with Local Differential Privacy Lin Sun Xiaojun Ye Jun Zhao Chenhui Lu Mengmeng Yang 69 8 0 13 Feb 2020
Estimating Numerical Distributions under Local Differential Privacy Zitao Li Tianhao Wang Milan Lopuhaä-Zwakenberg B. Škorić Ninghui Li 58 92 0 02 Dec 2019
PCKV: Locally Differentially Private Correlated Key-Value Data Collection with Optimized Utility Xiaolan Gu Ming Li Yueqiang Cheng Li Xiong Yang Cao 74 83 0 28 Nov 2019
Collecting and Analyzing Multidimensional Data with Local Differential Privacy Ning Wang Xiaokui Xiao Yifan Yang Jun Zhao S. Hui Hyejin Shin Junbum Shin Ge Yu 61 327 0 28 Jun 2019
Impact of Prior Knowledge and Data Correlation on Privacy Leakage: A Unified Analysis Yanan Li Xuebin Ren Shusen Yang Xinyu Yang 47 17 0 05 Jun 2019
On Privacy Protection of Latent Dirichlet Allocation Model Training Fangyuan Zhao Xuebin Ren Shusen Yang Xinyu Yang 46 5 0 04 Jun 2019
Locally Differentially Private Minimum Finding Kazuto Fukuchi Chia-Mu Yu Arashi Haishima Jun Sakuma FedML 54 0 0 27 May 2019
Locally Differentially Private Frequency Estimation with Consistency Tianhao Wang Milan Lopuhaä-Zwakenberg Zitao Li B. Škorić Ninghui Li 99 80 0 20 May 2019
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy Haipei Sun Boxiang Dong Hui Wendy Hui Wang Ting Yu Zhan Qin 62 23 0 24 Aug 2018
Local Differential Privacy for Physical Sensor Data and Sparse Recovery A. Gilbert Audra McMillan 87 5 0 31 May 2017