Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization

18 October 2020

Papers citing "Enabling Fast Differentially Private SGD via Just-in-Time Compilation and Vectorization"

6 / 6 papers shown

Title
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 170 179 0 28 Jul 2020
Private Mean Estimation of Heavy-Tailed Distributions Gautam Kamath Vikrant Singhal Jonathan R. Ullman 48 99 0 21 Feb 2020
BackPACK: Packing more into backprop Felix Dangel Frederik Kunstner Philipp Hennig ODL 45 103 0 23 Dec 2019
Prochlo: Strong Privacy for Analytics in the Crowd Andrea Bittau Ulfar Erlingsson Petros Maniatis Ilya Mironov A. Raghunathan David Lie Mitch Rudominer Ushasree Kode J. Tinnés B. Seefeld 106 279 0 02 Oct 2017
TensorFlow: A system for large-scale machine learning Martín Abadi P. Barham Jianmin Chen Zhiwen Chen Andy Davis ... Vijay Vasudevan Pete Warden Martin Wicke Yuan Yu Xiaoqiang Zhang GNN AI4CE 324 18,300 0 27 May 2016
RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response Ulfar Erlingsson Vasyl Pihur Aleksandra Korolova 51 1,977 0 25 Jul 2014