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Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization
21 September 2020
K. Nikolaidis
Stein Kristiansen
T. Plagemann
V. Goebel
Knut Liestøl
Mohan S. Kankanhalli
G. Traaen
Britt Overland
Harriet Akre
L. Aakerøy
S. Steinshamn
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Papers citing
"Learning Realistic Patterns from Unrealistic Stimuli: Generalization and Data Anonymization"
32 / 32 papers shown
Title
A Clinical Evaluation of a Low-Cost Strain Gauge Respiration Belt and Machine Learning to Detect Sleep Apnea
Stein Kristiansen
K. Nikolaidis
T. Plagemann
V. Goebel
G. Traaen
...
S. Steinshamn
C. Bendz
O. Anfinsen
L. Gullestad
Harriet Akre
27
15
0
07 Jan 2021
Decision-Making with Auto-Encoding Variational Bayes
Romain Lopez
Pierre Boyeau
Nir Yosef
Michael I. Jordan
Jeffrey Regier
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535
10,591
0
17 Feb 2020
No Routing Needed Between Capsules
Adam Byerly
T. Kalganova
I. Dear
124
67
0
24 Jan 2020
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks
Yuheng Zhang
R. Jia
Hengzhi Pei
Wenxiao Wang
Yue Liu
Basel Alomair
AAML
113
422
0
17 Nov 2019
DeepPrivacy: A Generative Adversarial Network for Face Anonymization
Håkon Hukkelås
Rudolf Mester
Frank Lindseth
PICV
CVBM
68
230
0
10 Sep 2019
Mimic Learning to Generate a Shareable Network Intrusion Detection Model
Ahmed A. Shafee
Mohamed Baza
Douglas A. Talbert
M. Fouda
Mahmoud Nabil
Mohamed Mahmoud
56
29
0
02 May 2019
AnomiGAN: Generative adversarial networks for anonymizing private medical data
Ho Bae
Dahuin Jung
Sungroh Yoon
MedIm
27
37
0
31 Jan 2019
Medical Image Synthesis for Data Augmentation and Anonymization using Generative Adversarial Networks
Hoo-Chang Shin
Neil A. Tenenholtz
Jameson K. Rogers
C. Schwarz
M. Senjem
J. Gunter
Katherine P. Andriole
Mark H. Michalski
MedIm
111
544
0
26 Jul 2018
Learning Anonymized Representations with Adversarial Neural Networks
Clément Feutry
Pablo Piantanida
Yoshua Bengio
Pierre Duhamel
69
59
0
26 Feb 2018
Differentially Private Generative Adversarial Network
Liyang Xie
Kaixiang Lin
Shu Wang
Fei Wang
Jiayu Zhou
SyDa
95
502
0
19 Feb 2018
A Survey of Model Compression and Acceleration for Deep Neural Networks
Yu Cheng
Duo Wang
Pan Zhou
Zhang Tao
113
1,097
0
23 Oct 2017
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
Stanislas Chambon
M. Galtier
P. Arnal
G. Wainrib
Alexandre Gramfort
MLAU
AI4TS
80
489
0
05 Jul 2017
Improved Training of Wasserstein GANs
Ishaan Gulrajani
Faruk Ahmed
Martín Arjovsky
Vincent Dumoulin
Aaron Courville
GAN
227
9,564
0
31 Mar 2017
Adversarial Transformation Networks: Learning to Generate Adversarial Examples
S. Baluja
Ian S. Fischer
GAN
79
286
0
28 Mar 2017
On the Behavior of Convolutional Nets for Feature Extraction
Dario Garcia-Gasulla
Ferran Parés
Armand Vilalta
Jonathan Moreno
Eduard Ayguadé
Jesús Labarta
Ulises Cortés
Toyotaro Suzumura
SSL
46
93
0
03 Mar 2017
Renyi Differential Privacy
Ilya Mironov
91
1,268
0
24 Feb 2017
Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning
Briland Hitaj
G. Ateniese
Fernando Perez-Cruz
FedML
131
1,413
0
24 Feb 2017
Membership Inference Attacks against Machine Learning Models
Reza Shokri
M. Stronati
Congzheng Song
Vitaly Shmatikov
SLR
MIALM
MIACV
280
4,160
0
18 Oct 2016
Semi-supervised Knowledge Transfer for Deep Learning from Private Training Data
Nicolas Papernot
Martín Abadi
Ulfar Erlingsson
Ian Goodfellow
Kunal Talwar
94
1,021
0
18 Oct 2016
Deep Learning with Differential Privacy
Martín Abadi
Andy Chu
Ian Goodfellow
H. B. McMahan
Ilya Mironov
Kunal Talwar
Li Zhang
FedML
SyDa
216
6,172
0
01 Jul 2016
The Latin American Giant Observatory: a successful collaboration in Latin America based on Cosmic Rays and computer science domains
Hernán Asorey
R. Mayo-García
L. Núñez
M. Pascual
A. J. Rubio-Montero
M. Suárez-Durán
L. A. Torres-Niño
96
5
0
30 May 2016
Multifaceted Feature Visualization: Uncovering the Different Types of Features Learned By Each Neuron in Deep Neural Networks
Anh Totti Nguyen
J. Yosinski
Jeff Clune
97
330
0
11 Feb 2016
Net2Net: Accelerating Learning via Knowledge Transfer
Tianqi Chen
Ian Goodfellow
Jonathon Shlens
187
672
0
18 Nov 2015
Transfer Learning from Deep Features for Remote Sensing and Poverty Mapping
Sang Michael Xie
Neal Jean
Marshall Burke
David B. Lobell
Stefano Ermon
64
432
0
01 Oct 2015
Data-free parameter pruning for Deep Neural Networks
Suraj Srinivas
R. Venkatesh Babu
3DPC
85
547
0
22 Jul 2015
Learning both Weights and Connections for Efficient Neural Networks
Song Han
Jeff Pool
J. Tran
W. Dally
CVBM
316
6,709
0
08 Jun 2015
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
367
19,745
0
09 Mar 2015
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
FitNets: Hints for Thin Deep Nets
Adriana Romero
Nicolas Ballas
Samira Ebrahimi Kahou
Antoine Chassang
C. Gatta
Yoshua Bengio
FedML
322
3,906
0
19 Dec 2014
Deep Neural Networks are Easily Fooled: High Confidence Predictions for Unrecognizable Images
Anh Totti Nguyen
J. Yosinski
Jeff Clune
AAML
174
3,275
0
05 Dec 2014
Conditional Generative Adversarial Nets
M. Berk Mirza
Simon Osindero
GAN
SyDa
AI4CE
264
10,438
0
06 Nov 2014
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAtt
SSL
603
15,907
0
12 Nov 2013
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