ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1903.11673
  4. Cited By
Adversarial Deep Learning in EEG Biometrics

Adversarial Deep Learning in EEG Biometrics

27 March 2019
Ozan Özdenizci
Ye Wang
T. Koike-Akino
Deniz Erdogmus
ArXiv (abs)PDFHTML

Papers citing "Adversarial Deep Learning in EEG Biometrics"

15 / 15 papers shown
Title
Affective EEG-Based Person Identification Using the Deep Learning
  Approach
Affective EEG-Based Person Identification Using the Deep Learning Approach
Theerawit Wilaiprasitporn
Apiwat Ditthapron
Karis Matchaparn
Tanaboon Tongbuasirilai
Nannapas Banluesombatkul
Ekapol Chuangsuwanich
37
133
0
05 Jul 2018
Fader Networks: Manipulating Images by Sliding Attributes
Fader Networks: Manipulating Images by Sliding Attributes
Guillaume Lample
Neil Zeghidour
Nicolas Usunier
Antoine Bordes
Ludovic Denoyer
MarcÁurelio Ranzato
DRLGAN
108
546
0
01 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
106
293
0
31 May 2017
In-ear EEG biometrics for feasible and readily collectable real-world
  person authentication
In-ear EEG biometrics for feasible and readily collectable real-world person authentication
Takashi Nakamura
Valentin Goverdovsky
Danilo P. Mandic
33
100
0
10 May 2017
Deep learning with convolutional neural networks for EEG decoding and
  visualization
Deep learning with convolutional neural networks for EEG decoding and visualization
Robin Tibor Schirrmeister
Jost Tobias Springenberg
Lukas Dominique Josef Fiederer
Martin Glasstetter
Katharina Eggensperger
Michael Tangermann
Frank Hutter
Wolfram Burgard
Tonio Ball
88
1,924
0
15 Mar 2017
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer
  Interfaces
EEGNet: A Compact Convolutional Network for EEG-based Brain-Computer Interfaces
Vernon J. Lawhern
Amelia J. Solon
Nicholas R. Waytowich
Stephen M. Gordon
C. Hung
Brent Lance
OOD
112
2,900
0
23 Nov 2016
Learning to Pivot with Adversarial Networks
Learning to Pivot with Adversarial Networks
Gilles Louppe
Michael Kagan
Kyle Cranmer
66
227
0
03 Nov 2016
Xception: Deep Learning with Depthwise Separable Convolutions
Xception: Deep Learning with Depthwise Separable Convolutions
François Chollet
MDEBDLPINN
1.4K
14,618
0
07 Oct 2016
Learning Representations from EEG with Deep Recurrent-Convolutional
  Neural Networks
Learning Representations from EEG with Deep Recurrent-Convolutional Neural Networks
P. Bashivan
Irina Rish
M. Yeasin
Noel Codella
68
666
0
19 Nov 2015
Censoring Representations with an Adversary
Censoring Representations with an Adversary
Harrison Edwards
Amos Storkey
AAMLFaML
68
506
0
18 Nov 2015
Deep Feature Learning for EEG Recordings
Deep Feature Learning for EEG Recordings
Sebastian Stober
Avital Sternin
A. Owen
Jessica A. Grahn
51
131
0
13 Nov 2015
The Variational Fair Autoencoder
The Variational Fair Autoencoder
Christos Louizos
Kevin Swersky
Yujia Li
Max Welling
R. Zemel
DRL
223
636
0
03 Nov 2015
Batch Normalization: Accelerating Deep Network Training by Reducing
  Internal Covariate Shift
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Sergey Ioffe
Christian Szegedy
OOD
467
43,347
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
2.1K
150,364
0
22 Dec 2014
Auto-Encoding Variational Bayes
Auto-Encoding Variational Bayes
Diederik P. Kingma
Max Welling
BDL
455
16,922
0
20 Dec 2013
1