Data-driven Regularized Inference Privacy

10 October 2020

Papers citing "Data-driven Regularized Inference Privacy"

11 / 11 papers shown

Title
A compressive multi-kernel method for privacy-preserving machine learning Thee Chanyaswad Jerome Chang S. Kung 47 26 0 20 Jun 2021
Invariant Representations without Adversarial Training Daniel Moyer Shuyang Gao Rob Brekelmans Greg Ver Steeg Aram Galstyan OOD 59 210 0 24 May 2018
Privacy-Preserving Adversarial Networks Ardhendu Shekhar Tripathy Ye Wang Prakash Ishwar PICV 55 84 0 19 Dec 2017
Image to Image Translation for Domain Adaptation Zak Murez Soheil Kolouri D. Kriegman R. Ramamoorthi Kyungnam Kim OOD 60 529 0 01 Dec 2017
Age Progression/Regression by Conditional Adversarial Autoencoder Zhifei Zhang Yang Song Hairong Qi GAN CVBM 69 1,113 0 27 Feb 2017
Perceptual Losses for Real-Time Style Transfer and Super-Resolution Justin Johnson Alexandre Alahi Li Fei-Fei SupR 234 10,249 0 27 Mar 2016
Generative Moment Matching Networks Yujia Li Kevin Swersky R. Zemel OOD GAN 107 847 0 10 Feb 2015
Auto-Encoding Variational Bayes Diederik P. Kingma Max Welling BDL 452 16,933 0 20 Dec 2013
Privacy Against Statistical Inference Flavio du Pin Calmon N. Fawaz FedML 143 346 0 08 Oct 2012
Universality, Characteristic Kernels and RKHS Embedding of Measures Bharath K. Sriperumbudur Kenji Fukumizu Gert R. G. Lanckriet 224 530 0 03 Mar 2010
A Kernel Method for the Two-Sample Problem Arthur Gretton Karsten Borgwardt Malte J. Rasch Bernhard Schölkopf Alex Smola 231 2,360 0 15 May 2008