Oneshot Differentially Private Top-k Selection

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Oneshot Differentially Private Top-k Selection

18 May 2021

Weijie J. Su

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Papers citing "Oneshot Differentially Private Top-k Selection"

15 / 15 papers shown

Title
Hot PATE: Private Aggregation of Distributions for Diverse Task Edith Cohen Benjamin Cohen-Wang Xin Lyu Jelani Nelson Tamas Sarlos Uri Stemmer 96 4 0 04 Dec 2023
Deep Learning with Gaussian Differential Privacy Zhiqi Bu Jinshuo Dong Qi Long Weijie J. Su FedML 67 209 0 26 Nov 2019
Optimal Differential Privacy Composition for Exponential Mechanisms and the Cost of Adaptivity Jinshuo Dong D. Durfee Ryan M. Rogers 43 11 0 30 Sep 2019
Practical Differentially Private Top- $k$ Selection with Pay-what-you-get Composition D. Durfee Ryan M. Rogers 64 89 0 10 May 2019
Differentially Private False Discovery Rate Control Cynthia Dwork Weijie J. Su Li Zhang 54 23 0 11 Jul 2018
Tight Lower Bounds for Differentially Private Selection Thomas Steinke Jonathan R. Ullman 101 75 0 10 Apr 2017
Renyi Differential Privacy Ilya Mironov 91 1,268 0 24 Feb 2017
The Price of Selection in Differential Privacy Mitali Bafna Jonathan R. Ullman 109 31 0 09 Feb 2017
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 216 6,172 0 01 Jul 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 97 840 0 06 May 2016
Concentrated Differential Privacy Cynthia Dwork G. Rothblum 80 453 0 06 Mar 2016
Private False Discovery Rate Control Cynthia Dwork Weijie Su Li Zhang 39 27 0 12 Nov 2015
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 154 685 0 04 Nov 2013
The Price of Privacy in Untrusted Recommendation Engines Siddhartha Banerjee N. Hegde Laurent Massoulié 113 18 0 13 Jul 2012
An adaptive step-down procedure with proven FDR control under independence Yulia Gavrilov Y. Benjamini S. Sarkar 119 127 0 31 Mar 2009

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