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Universal Adversarial Audio Perturbations

Universal Adversarial Audio Perturbations

8 August 2019
Sajjad Abdoli
L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
    AAML
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Papers citing "Universal Adversarial Audio Perturbations"

41 / 41 papers shown
Title
Universal Adversarial Perturbations for Speech Recognition Systems
Universal Adversarial Perturbations for Speech Recognition Systems
Paarth Neekhara
Shehzeen Samarah Hussain
Prakhar Pandey
Shlomo Dubnov
Julian McAuley
F. Koushanfar
AAML
61
117
0
09 May 2019
End-to-End Environmental Sound Classification using a 1D Convolutional
  Neural Network
End-to-End Environmental Sound Classification using a 1D Convolutional Neural Network
Sajjad Abdoli
P. Cardinal
Alessandro Lameiras Koerich
54
271
0
18 Apr 2019
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic
  Speech Recognition
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin
Nicholas Carlini
Ian Goodfellow
G. Cottrell
Colin Raffel
AAML
69
379
0
22 Mar 2019
On the security relevance of weights in deep learning
On the security relevance of weights in deep learning
Kathrin Grosse
T. A. Trost
Marius Mosbach
Michael Backes
Dietrich Klakow
AAML
49
6
0
08 Feb 2019
SirenAttack: Generating Adversarial Audio for End-to-End Acoustic Systems
Tianyu Du
S. Ji
Jinfeng Li
Qinchen Gu
Ting Wang
R. Beyah
AAML
51
129
0
23 Jan 2019
Knockoff Nets: Stealing Functionality of Black-Box Models
Knockoff Nets: Stealing Functionality of Black-Box Models
Tribhuvanesh Orekondy
Bernt Schiele
Mario Fritz
MLAU
89
534
0
06 Dec 2018
Decoupling Direction and Norm for Efficient Gradient-Based L2
  Adversarial Attacks and Defenses
Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses
Jérôme Rony
L. G. Hafemann
Luiz Eduardo Soares de Oliveira
Ismail Ben Ayed
R. Sabourin
Eric Granger
AAML
54
298
0
23 Nov 2018
Robust Audio Adversarial Example for a Physical Attack
Robust Audio Adversarial Example for a Physical Attack
Hiromu Yakura
Jun Sakuma
AAML
50
191
0
28 Oct 2018
Are adversarial examples inevitable?
Are adversarial examples inevitable?
Ali Shafahi
Wenjie Huang
Christoph Studer
Soheil Feizi
Tom Goldstein
SILM
59
282
0
06 Sep 2018
Speaker Recognition from Raw Waveform with SincNet
Speaker Recognition from Raw Waveform with SincNet
Mirco Ravanelli
Yoshua Bengio
150
713
0
29 Jul 2018
Object Detection with Deep Learning: A Review
Object Detection with Deep Learning: A Review
Zhong-Qiu Zhao
Peng Zheng
Shou-tao Xu
Xindong Wu
ObjD
97
4,008
0
15 Jul 2018
End-to-End Speech Recognition From the Raw Waveform
End-to-End Speech Recognition From the Raw Waveform
Neil Zeghidour
Nicolas Usunier
Gabriel Synnaeve
R. Collobert
Emmanuel Dupoux
87
84
0
19 Jun 2018
Transfer Learning from Speaker Verification to Multispeaker
  Text-To-Speech Synthesis
Transfer Learning from Speaker Verification to Multispeaker Text-To-Speech Synthesis
Ye Jia
Yu Zhang
Ron J. Weiss
Quan Wang
Jonathan Shen
...
Zhiwen Chen
Patrick Nguyen
Ruoming Pang
Ignacio López Moreno
Yonghui Wu
251
830
0
12 Jun 2018
Unsupervised Text Style Transfer using Language Models as Discriminators
Unsupervised Text Style Transfer using Language Models as Discriminators
Zichao Yang
Zhiting Hu
Chris Dyer
Eric Xing
Taylor Berg-Kirkpatrick
70
273
0
30 May 2018
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Unsupervised Cross-Modal Alignment of Speech and Text Embedding Spaces
Yu-An Chung
W. Weng
S. Tong
James R. Glass
71
100
0
18 May 2018
Adversarial vulnerability for any classifier
Adversarial vulnerability for any classifier
Alhussein Fawzi
Hamza Fawzi
Omar Fawzi
AAML
70
250
0
23 Feb 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
94
1,079
0
05 Jan 2018
Did you hear that? Adversarial Examples Against Automatic Speech
  Recognition
Did you hear that? Adversarial Examples Against Automatic Speech Recognition
M. Alzantot
Bharathan Balaji
Mani B. Srivastava
AAML
60
251
0
02 Jan 2018
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A
  Survey
Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey
Naveed Akhtar
Ajmal Mian
AAML
93
1,867
0
02 Jan 2018
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning
Battista Biggio
Fabio Roli
AAML
122
1,409
0
08 Dec 2017
Learning from Between-class Examples for Deep Sound Recognition
Learning from Between-class Examples for Deep Sound Recognition
Yuji Tokozume
Yoshitaka Ushiku
Tatsuya Harada
SSL
78
237
0
28 Nov 2017
Crafting Adversarial Examples For Speech Paralinguistics Applications
Crafting Adversarial Examples For Speech Paralinguistics Applications
Yuan Gong
C. Poellabauer
AAML
62
122
0
09 Nov 2017
Learning Filterbanks from Raw Speech for Phone Recognition
Learning Filterbanks from Raw Speech for Phone Recognition
Neil Zeghidour
Nicolas Usunier
Iasonas Kokkinos
Thomas Schatz
Gabriel Synnaeve
Emmanuel Dupoux
64
120
0
03 Nov 2017
DolphinAtack: Inaudible Voice Commands
DolphinAtack: Inaudible Voice Commands
Guoming Zhang
Chen Yan
Xiaoyu Ji
Taimin Zhang
Tianchen Zhang
Wenyuan Xu
AAML
43
694
0
31 Aug 2017
Towards Deep Learning Models Resistant to Adversarial Attacks
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
301
12,060
0
19 Jun 2017
Universal Adversarial Perturbations Against Semantic Image Segmentation
Universal Adversarial Perturbations Against Semantic Image Segmentation
J. H. Metzen
Mummadi Chaithanya Kumar
Thomas Brox
Volker Fischer
AAML
121
287
0
19 Apr 2017
Delving into Transferable Adversarial Examples and Black-box Attacks
Delving into Transferable Adversarial Examples and Black-box Attacks
Yanpei Liu
Xinyun Chen
Chang-rui Liu
D. Song
AAML
140
1,737
0
08 Nov 2016
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
133
2,527
0
26 Oct 2016
WaveNet: A Generative Model for Raw Audio
WaveNet: A Generative Model for Raw Audio
Aaron van den Oord
Sander Dieleman
Heiga Zen
Karen Simonyan
Oriol Vinyals
Alex Graves
Nal Kalchbrenner
A. Senior
Koray Kavukcuoglu
DiffM
393
7,389
0
12 Sep 2016
Towards Evaluating the Robustness of Neural Networks
Towards Evaluating the Robustness of Neural Networks
Nicholas Carlini
D. Wagner
OOD
AAML
258
8,550
0
16 Aug 2016
Layer Normalization
Layer Normalization
Jimmy Lei Ba
J. Kiros
Geoffrey E. Hinton
399
10,481
0
21 Jul 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
534
5,897
0
08 Jul 2016
DeepFool: a simple and accurate method to fool deep neural networks
DeepFool: a simple and accurate method to fool deep neural networks
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
P. Frossard
AAML
148
4,895
0
14 Nov 2015
Deep Learning and Music Adversaries
Deep Learning and Music Adversaries
Corey Kereliuk
Bob L. T. Sturm
J. Larsen
AAML
65
137
0
16 Jul 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
460
43,277
0
11 Feb 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.7K
150,006
0
22 Dec 2014
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
271
19,045
0
20 Dec 2014
Deep Speech: Scaling up end-to-end speech recognition
Deep Speech: Scaling up end-to-end speech recognition
Awni Y. Hannun
Carl Case
Jared Casper
Bryan Catanzaro
G. Diamos
...
R. Prenger
S. Satheesh
Shubho Sengupta
Adam Coates
A. Ng
176
2,124
0
17 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,330
0
04 Sep 2014
Intriguing properties of neural networks
Intriguing properties of neural networks
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
268
14,912
1
21 Dec 2013
ADADELTA: An Adaptive Learning Rate Method
ADADELTA: An Adaptive Learning Rate Method
Matthew D. Zeiler
ODL
143
6,626
0
22 Dec 2012
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