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Generating private data with user customization

Generating private data with user customization

2 December 2020
Xiao Chen
Thomas Navidi
Ram Rajagopal
ArXivPDFHTML

Papers citing "Generating private data with user customization"

6 / 6 papers shown
Title
Understanding Compressive Adversarial Privacy
Understanding Compressive Adversarial Privacy
Xiao Chen
Peter Kairouz
Ram Rajagopal
27
11
0
21 Sep 2018
Learning Disentangled Joint Continuous and Discrete Representations
Learning Disentangled Joint Continuous and Discrete Representations
Emilien Dupont
DRL
47
242
0
31 Mar 2018
Learning Adversarially Fair and Transferable Representations
Learning Adversarially Fair and Transferable Representations
David Madras
Elliot Creager
T. Pitassi
R. Zemel
FaML
284
678
0
17 Feb 2018
UMAP: Uniform Manifold Approximation and Projection for Dimension
  Reduction
UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction
Leland McInnes
John Healy
James Melville
80
9,312
0
09 Feb 2018
Improved Training of Wasserstein GANs
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
71
9,509
0
31 Mar 2017
f-GAN: Training Generative Neural Samplers using Variational Divergence
  Minimization
f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization
Sebastian Nowozin
Botond Cseke
Ryota Tomioka
GAN
47
1,648
0
02 Jun 2016
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