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Mitigating Information Leakage in Image Representations: A Maximum
  Entropy Approach

Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach

11 April 2019
P. Roy
Vishnu Boddeti
ArXiv (abs)PDFHTML

Papers citing "Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach"

15 / 15 papers shown
Title
Revealing Unintentional Information Leakage in Low-Dimensional Facial Portrait Representations
Kathleen Anderson
Thomas Martinetz
CVBM
111
0
0
12 Mar 2025
Mitigating Unwanted Biases with Adversarial Learning
Mitigating Unwanted Biases with Adversarial Learning
B. Zhang
Blake Lemoine
Margaret Mitchell
FaML
199
1,390
0
22 Jan 2018
Data Decisions and Theoretical Implications when Adversarially Learning
  Fair Representations
Data Decisions and Theoretical Implications when Adversarially Learning Fair Representations
Alex Beutel
Jilin Chen
Zhe Zhao
Ed H. Chi
FaML
107
442
0
01 Jul 2017
Gradient descent GAN optimization is locally stable
Gradient descent GAN optimization is locally stable
Vaishnavh Nagarajan
J. Zico Kolter
GAN
74
348
0
13 Jun 2017
Controllable Invariance through Adversarial Feature Learning
Controllable Invariance through Adversarial Feature Learning
Qizhe Xie
Zihang Dai
Yulun Du
Eduard H. Hovy
Graham Neubig
OOD
94
293
0
31 May 2017
The Numerics of GANs
The Numerics of GANs
L. Mescheder
Sebastian Nowozin
Andreas Geiger
GAN
100
456
0
30 May 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
267
4,672
0
17 Feb 2017
Identity Mappings in Deep Residual Networks
Identity Mappings in Deep Residual Networks
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
354
10,192
0
16 Mar 2016
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAMLFaML
66
506
0
18 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
223
634
0
03 Nov 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
383
9,511
0
28 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.0K
150,260
0
22 Dec 2014
Learning unbiased features
Learning unbiased features
Yujia Li
Kevin Swersky
R. Zemel
OODSSLFaML
73
70
0
17 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
235
6,041
0
26 Sep 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,923
0
20 Dec 2013
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