Collecting Telemetry Data Privately

5 December 2017

Papers citing "Collecting Telemetry Data Privately"

46 / 346 papers shown

Title
Data Poisoning Attacks to Local Differential Privacy Protocols Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML 103 78 0 05 Nov 2019
Pan-Private Uniformity Testing Kareem Amin Matthew Joseph Jieming Mao 91 24 0 04 Nov 2019
Information-theoretic metrics for Local Differential Privacy protocols Milan Lopuhaä-Zwakenberg B. Škorić Ninghui Li 40 15 0 17 Oct 2019
Private Protocols for U-Statistics in the Local Model and Beyond James Bell A. Bellet Adria Gascon Tejas D. Kulkarni FedML 23 7 0 09 Oct 2019
Estimating Smooth GLM in Non-interactive Local Differential Privacy Model with Public Unlabeled Data Di Wang Lijie Hu Huanyu Zhang Marco Gaboardi Jinhui Xu 127 9 0 01 Oct 2019
Linear and Range Counting under Metric-based Local Differential Privacy Zhuolun Xiang Bolin Ding Xi He Jingren Zhou 28 0 0 25 Sep 2019
Improving Utility and Security of the Shuffler-based Differential Privacy Tianhao Wang Bolin Ding Min Xu Zhicong Huang Cheng Hong Jingren Zhou Ninghui Li S. Jha 143 11 0 30 Aug 2019
On the Power of Multiple Anonymous Messages Badih Ghazi Noah Golowich Ravi Kumar Rasmus Pagh A. Velingker FedML 88 6 0 29 Aug 2019
Successive Point-of-Interest Recommendation with Local Differential Privacy Jong Seon Kim Jong Wook Kim Y. Chung 38 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 35 7 0 14 Aug 2019
That which we call private Ulfar Erlingsson Ilya Mironov A. Raghunathan Shuang Song 58 26 0 08 Aug 2019
Local Differential Privacy: a tutorial Björn Bebensee 54 48 0 27 Jul 2019
Conditional Analysis for Key-Value Data with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye Shuo Feng Teng Wang Tao Bai 82 18 0 11 Jul 2019
Exponential Separations in Local Differential Privacy Matthew Joseph Jieming Mao Aaron Roth 50 11 0 01 Jul 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 56 327 0 28 Jun 2019
Distributed Clustering in the Anonymized Space with Local Differential Privacy Lin Sun Jun Zhao Xiaojun Ye 52 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
SoK: Differential Privacies Damien Desfontaines Balázs Pejó 160 126 0 04 Jun 2019
Generating Poisson-Distributed Differentially Private Synthetic Data Harrison Quick 25 20 0 02 Jun 2019
Communication Complexity in Locally Private Distribution Estimation and Heavy Hitters Jayadev Acharya Ziteng Sun 90 60 0 28 May 2019
Locally Differentially Private Minimum Finding Kazuto Fukuchi Chia-Mu Yu Arashi Haishima Jun Sakuma FedML 49 0 0 27 May 2019
Shredder: Learning Noise Distributions to Protect Inference Privacy Fatemehsadat Mireshghallah Mohammadkazem Taram Prakash Ramrakhyani Dean Tullsen H. Esmaeilzadeh 57 11 0 26 May 2019
Locally Differentially Private Frequency Estimation with Consistency Tianhao Wang Milan Lopuhaä-Zwakenberg Zitao Li B. Škorić Ninghui Li 95 80 0 20 May 2019
Secure and Utility-Aware Data Collection with Condensed Local Differential Privacy Mehmet Emre Gursoy Acar Tamersoy Stacey Truex Wenqi Wei Ling Liu 81 76 0 15 May 2019
Practical Differentially Private Top- $k$ Selection with Pay-what-you-get Composition D. Durfee Ryan M. Rogers 74 89 0 10 May 2019
Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms Zeyu Ding Yuxin Wang Qiang Yan Daniel Kifer 76 14 0 29 Apr 2019
The Role of Interactivity in Local Differential Privacy Matthew Joseph Jieming Mao Seth Neel Aaron Roth 88 65 0 07 Apr 2019
The Privacy Blanket of the Shuffle Model Borja Balle James Bell Adria Gascon Kobbi Nissim FedML 77 239 0 07 Mar 2019
Federated Heavy Hitters Discovery with Differential Privacy Wennan Zhu Peter Kairouz H. B. McMahan Haicheng Sun Wei Li FedML 114 110 0 22 Feb 2019
The Cost of Privacy: Optimal Rates of Convergence for Parameter Estimation with Differential Privacy T. Tony Cai Yichen Wang Linjun Zhang 109 169 0 12 Feb 2019
Calibrate: Frequency Estimation and Heavy Hitter Identification with Local Differential Privacy via Incorporating Prior Knowledge Jinyuan Jia Neil Zhenqiang Gong 98 42 0 05 Dec 2018
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 211 430 0 29 Nov 2018
The Power of The Hybrid Model for Mean Estimation Brendan Avent Yatharth Dubey Aleksandra Korolova 77 17 0 29 Nov 2018
Locally Private Gaussian Estimation Matthew Joseph Janardhan Kulkarni Jieming Mao Zhiwei Steven Wu FedML 91 38 0 20 Nov 2018
Locally Private Learning without Interaction Requires Separation Amit Daniely Vitaly Feldman 41 12 0 24 Sep 2018
PriPeARL: A Framework for Privacy-Preserving Analytics and Reporting at LinkedIn K. Kenthapadi Thanh T. L. Tran 60 33 0 20 Sep 2018
Issues Encountered Deploying Differential Privacy S. Garfinkel John M. Abowd Sarah Powazek 49 111 0 06 Sep 2018
Truth Inference on Sparse Crowdsourcing Data with Local Differential Privacy Haipei Sun Boxiang Dong Hui Wendy Hui Wang Ting Yu Zhan Qin 57 23 0 24 Aug 2018
OptStream: Releasing Time Series Privately Ferdinando Fioretto Pascal Van Hentenryck 31 19 0 06 Aug 2018
Utility-Optimized Local Differential Privacy Mechanisms for Distribution Estimation Takao Murakami Yusuke Kawamoto 115 91 0 30 Jul 2018
An Algorithmic Framework For Differentially Private Data Analysis on Trusted Processors Joshua Allen Bolin Ding Janardhan Kulkarni Harsha Nori O. Ohrimenko Sergey Yekhanin SyDa FedML 117 32 0 02 Jul 2018
Property Testing for Differential Privacy A. Gilbert Audra McMillan 61 29 0 17 Jun 2018
Comparing Population Means under Local Differential Privacy: with Significance and Power Bolin Ding Harsha Nori P. Li Joshua Allen 64 33 0 24 Mar 2018
Local Differential Privacy for Evolving Data Matthew Joseph Aaron Roth Jonathan R. Ullman Bo Waggoner 92 87 0 20 Feb 2018
Locally Differentially Private Heavy Hitter Identification Tianhao Wang Ninghui Li S. Jha 77 119 0 22 Aug 2017
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 46 108 0 13 Dec 2016