Collecting and Analyzing Multidimensional Data with Local Differential
Privacy

Collecting and Analyzing Multidimensional Data with Local Differential Privacy

28 June 2019

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Papers citing "Collecting and Analyzing Multidimensional Data with Local Differential Privacy"

16 / 66 papers shown

Title
Input Perturbation: A New Paradigm between Central and Local Differential Privacy Yilin Kang Yong Liu Ben Niu Xin-Yi Tong Likun Zhang Weiping Wang 64 11 0 20 Feb 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
Privacy-Preserving Boosting in the Local Setting Sen Wang J.Morris Chang FedML 50 3 0 06 Feb 2020
Locally Private Distributed Reinforcement Learning Hajime Ono Tsubasa Takahashi OffRL 69 23 0 31 Jan 2020
A Blockchain-Based Approach for Saving and Tracking Differential-Privacy Cost Yang Zhao Jun Zhao Jiawen Kang Zehang Zhang Dusit Niyato Shuyu Shi 82 24 0 25 Jan 2020
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
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 138 1,635 0 01 Nov 2019
Privacy-Preserving Obfuscation for Distributed Power Systems Terrence W.K. Mak Ferdinando Fioretto Pascal Van Hentenryck 24 40 0 07 Oct 2019
Successive Point-of-Interest Recommendation with Local Differential Privacy Jong Seon Kim Jong Wook Kim Y. Chung 48 19 0 26 Aug 2019
Aggregating Votes with Local Differential Privacy: Usefulness, Soundness vs. Indistinguishability Shaowei Wang Jiachun Du Wei Yang Xinrong Diao Zichun Liu Yiwen Nie Liusheng Huang Hongli Xu FedML 43 7 0 14 Aug 2019
Conditional Analysis for Key-Value Data with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye Shuo Feng Teng Wang Tao Bai 85 18 0 11 Jul 2019
Distributed Clustering in the Anonymized Space with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye 60 8 0 27 Jun 2019
Locally Differentially Private Data Collection and Analysis Teng Wang Jun Zhao Xinyu Yang Xuebin Ren 63 13 0 05 Jun 2019
Privacy-preserving Crowd-guided AI Decision-making in Ethical Dilemmas Teng Wang Jun Zhao Han Yu Jinyan Liu Xinyu Yang Xuebin Ren Shuyu Shi 58 11 0 04 Jun 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
Locally Differentially-Private Randomized Response for Discrete Distribution Learning A. Pastore Michael C. Gastpar FedML 47 10 0 29 Nov 2018