Concentrated Differential Privacy

6 March 2016

Papers citing "Concentrated Differential Privacy"

20 / 270 papers shown

Title
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 27 606 0 24 Feb 2018
Differentially Private Variational Dropout Beyza Ermis A. Cemgil 34 5 0 30 Nov 2017
Differentially Private Dropout Beyza Ermis A. Cemgil SyDa 23 4 0 30 Nov 2017
Rényi Differential Privacy Mechanisms for Posterior Sampling J. Geumlek Shuang Song Kamalika Chaudhuri 14 56 0 02 Oct 2017
Per-instance Differential Privacy Yu-Xiang Wang 31 5 0 24 Jul 2017
Renyi Differential Privacy Ilya Mironov 16 1,236 0 24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning Briland Hitaj G. Ateniese Fernando Perez-Cruz FedML 40 1,377 0 24 Feb 2017
Optimal Differentially Private Mechanisms for Randomised Response N. Holohan D. Leith O. Mason 32 62 0 16 Dec 2016
Individual Differential Privacy: A Utility-Preserving Formulation of Differential Privacy Guarantees Jordi Soria-Comas J. Domingo-Ferrer David Sánchez David Megías 11 143 0 07 Dec 2016
Variational Bayes In Private Settings (VIPS) Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 21 42 0 01 Nov 2016
Differentially Private Variational Inference for Non-conjugate Models Joonas Jälkö O. Dikmen Antti Honkela FedML 21 48 0 27 Oct 2016
A New Class of Private Chi-Square Tests Daniel Kifer Ryan M. Rogers 23 25 0 24 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data Nicolas Papernot Martín Abadi Ulfar Erlingsson Ian Goodfellow Kunal Talwar 19 1,005 0 18 Oct 2016
Private Topic Modeling Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 13 12 0 14 Sep 2016
Statistical Properties of Sanitized Results from Differentially Private Laplace Mechanism with Univariate Bounding Constraints Fang Liu 6 11 0 28 Jul 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 14 5,994 0 01 Jul 2016
A note on privacy preserving iteratively reweighted least squares Mijung Park Max Welling 16 1 0 24 May 2016
DP-EM: Differentially Private Expectation Maximization Mijung Park James R. Foulds Kamalika Chaudhuri Max Welling 11 8 0 23 May 2016
Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds Mark Bun Thomas Steinke 13 814 0 06 May 2016
Generalized Gaussian Mechanism for Differential Privacy Fang Liu 13 133 0 19 Feb 2016