Scalable Private Learning with PATE

24 February 2018

Papers citing "Scalable Private Learning with PATE"

7 / 157 papers shown

Title
Private Machine Learning in TensorFlow using Secure Computation Morten Dahl Jason V. Mancuso Yann Dupis Ben Decoste Morgan Giraud Ian Livingstone Justin Patriquin Gavin Uhma FedML 18 75 0 18 Oct 2018
Privacy Amplification by Iteration Vitaly Feldman Ilya Mironov Kunal Talwar Abhradeep Thakurta FedML 26 170 0 20 Aug 2018
Differentially-Private "Draw and Discard" Machine Learning Vasyl Pihur Aleksandra Korolova Frederick Liu Subhash Sankuratripati M. Yung Dachuan Huang Ruogu Zeng FedML 33 39 0 11 Jul 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 87 1,455 0 10 May 2018
Privacy-preserving Prediction Cynthia Dwork Vitaly Feldman 25 90 0 27 Mar 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 21 48 0 08 Mar 2018
On Connecting Stochastic Gradient MCMC and Differential Privacy Bai Li Changyou Chen Hao Liu Lawrence Carin 41 38 0 25 Dec 2017