Free Gap Information from the Differentially Private Sparse Vector and
Noisy Max Mechanisms

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Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms

29 April 2019

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Papers citing "Free Gap Information from the Differentially Private Sparse Vector and Noisy Max Mechanisms"

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Title
Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity Ulfar Erlingsson Vitaly Feldman Ilya Mironov A. Raghunathan Kunal Talwar Abhradeep Thakurta 186 427 0 29 Nov 2018
Private Selection from Private Candidates Jingcheng Liu Kunal Talwar 69 132 0 19 Nov 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 106 616 0 24 Feb 2018
Collecting Telemetry Data Privately Bolin Ding Janardhan Kulkarni Sergey Yekhanin 58 686 0 05 Dec 2017
Privacy Loss in Apple's Implementation of Differential Privacy on MacOS 10.12 Jun Tang Aleksandra Korolova Xiaolong Bai Xueqiang Wang Xiaofeng Wang 42 290 0 08 Sep 2017
Towards Practical Differential Privacy for SQL Queries Noah M. Johnson Joseph P. Near Basel Alomair 32 268 0 28 Jun 2017
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 77 1,259 0 24 Feb 2017
LightDP: Towards Automating Differential Privacy Proofs Qiang Yan Daniel Kifer 62 72 0 27 Jul 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,130 0 01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 84 835 0 06 May 2016
Understanding the Sparse Vector Technique for Differential Privacy Min Lyu D. Su Ninghui Li 42 165 0 05 Mar 2016
Proving Differential Privacy via Probabilistic Couplings Gilles Barthe Marco Gaboardi B. Grégoire Justin Hsu Pierre-Yves Strub 81 102 0 19 Jan 2016
The Large Margin Mechanism for Differentially Private Maximization Kamalika Chaudhuri Daniel J. Hsu Shuang Song 71 38 0 07 Sep 2014
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 96 1,992 0 25 Jul 2014
Private Learning and Sanitization: Pure vs. Approximate Differential Privacy A. Beimel Kobbi Nissim Uri Stemmer 91 194 0 10 Jul 2014
The Optimal Mechanism in Differential Privacy: Multidimensional Setting Quan Geng Pramod Viswanath 124 124 0 02 Dec 2013
Differentially Private Empirical Risk Minimization Kamalika Chaudhuri C. Monteleoni Anand D. Sarwate 137 1,487 0 01 Dec 2009