An automatic differentiation system for the age of differential privacy

An automatic differentiation system for the age of differential privacy

22 September 2021

Alexander Ziller

Kritika Prakash

Daniel Rueckert

Georgios Kaissis

Papers citing "An automatic differentiation system for the age of differential privacy"

6 / 6 papers shown

Title
DP-SGD Without Clipping: The Lipschitz Neural Network Way Louis Bethune Thomas Massena Thibaut Boissin Yannick Prudent Corentin Friedrich Franck Mamalet A. Bellet M. Serrurier David Vigouroux 34 9 0 25 May 2023
SoK: Differential Privacy on Graph-Structured Data Tamara T. Mueller Dmitrii Usynin Johannes C. Paetzold Daniel Rueckert Georgios Kaissis 19 14 0 17 Mar 2022
Towards General-purpose Infrastructure for Protecting Scientific Data Under Study Andrew Trask Kritika Prakash 41 3 0 04 Oct 2021
Syft 0.5: A Platform for Universally Deployable Structured Transparency A. Hall Madhava Jay Tudor Cebere Bogdan Cebere K. V. D. Veen ... Animesh Gupta Jason Paumier Nahua Kang V. Manannikov Andrew Trask FedML 24 7 0 26 Apr 2021
Individual Privacy Accounting via a Renyi Filter Vitaly Feldman Tijana Zrnic 59 86 0 25 Aug 2020
Tempered Sigmoid Activations for Deep Learning with Differential Privacy Nicolas Papernot Abhradeep Thakurta Shuang Song Steve Chien Ulfar Erlingsson AAML 139 178 0 28 Jul 2020