Content-Aware Differential Privacy with Conditional Invertible Neural
Networks

Content-Aware Differential Privacy with Conditional Invertible Neural Networks

29 July 2022

Sandy Engelhardt

Papers citing "Content-Aware Differential Privacy with Conditional Invertible Neural Networks"

15 / 15 papers shown

Title
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation Chris Waites Rachel Cummings 27 15 0 25 Mar 2021
On hallucinations in tomographic image reconstruction Sayantan Bhadra Varun A. Kelkar F. Brooks M. Anastasio 44 100 0 01 Dec 2020
Overcoming Barriers to Data Sharing with Medical Image Generation: A Comprehensive Evaluation August DuMont Schütte J. Hetzel S. Gatidis Tobias Hepp Benedikt Dietz Stefan Bauer Patrick Schwab MedIm 52 68 0 29 Nov 2020
Uncertainty Estimation in Medical Image Denoising with Bayesian Deep Image Prior M. Laves Malte Tolle T. Ortmaier UQCV BDL MedIm 33 45 0 20 Aug 2020
Disentanglement by Nonlinear ICA with General Incompressible-flow Networks (GIN) Peter Sorrenson Carsten Rother Ullrich Kothe DRL CML 45 119 0 14 Jan 2020
Skin Lesion Synthesis with Generative Adversarial Networks Alceu Bissoto Fábio Perez Eduardo Valle Sandra Avila GAN MedIm 37 98 0 08 Feb 2019
Analyzing Inverse Problems with Invertible Neural Networks Lynton Ardizzone Jakob Kruse Sebastian J. Wirkert D. Rahner E. Pellegrini R. Klessen Lena Maier-Hein Carsten Rother Ullrich Kothe 47 489 0 14 Aug 2018
Glow: Generative Flow with Invertible 1x1 Convolutions Diederik P. Kingma Prafulla Dhariwal BDL DRL 240 3,110 0 09 Jul 2018
Defeating Image Obfuscation with Deep Learning R. McPherson Reza Shokri Vitaly Shmatikov CVBM 62 168 0 01 Sep 2016
Faceless Person Recognition; Privacy Implications in Social Media Seong Joon Oh Rodrigo Benenson Mario Fritz Bernt Schiele CVBM 362 154 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 175 6,069 0 01 Jul 2016
Faster Eigenvector Computation via Shift-and-Invert Preconditioning Dan Garber Laurent Dinh Chi Jin Jascha Narain Sohl-Dickstein Samy Bengio Praneeth Netrapalli Aaron Sidford 216 3,681 0 26 May 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.2K 149,474 0 22 Dec 2014
Deep Learning Face Attributes in the Wild Ziwei Liu Ping Luo Xiaogang Wang Xiaoou Tang CVBM 219 8,351 0 28 Nov 2014
NICE: Non-linear Independent Components Estimation Laurent Dinh David M. Krueger Yoshua Bengio DRL BDL 118 2,251 0 30 Oct 2014