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Universal adversarial examples in speech command classification

Universal adversarial examples in speech command classification

22 November 2019
Jon Vadillo
Roberto Santana
    AAML
ArXivPDFHTML

Papers citing "Universal adversarial examples in speech command classification"

26 / 26 papers shown
Title
Universal Adversarial Audio Perturbations
Universal Adversarial Audio Perturbations
Sajjad Abdoli
L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
AAML
39
51
0
08 Aug 2019
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
44
116
0
09 May 2019
Adversarial Examples Are Not Bugs, They Are Features
Adversarial Examples Are Not Bugs, They Are Features
Andrew Ilyas
Shibani Santurkar
Dimitris Tsipras
Logan Engstrom
Brandon Tran
Aleksander Madry
SILM
80
1,825
0
06 May 2019
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
41
299
0
23 Nov 2018
Sufficient Conditions for Idealised Models to Have No Adversarial
  Examples: a Theoretical and Empirical Study with Bayesian Neural Networks
Sufficient Conditions for Idealised Models to Have No Adversarial Examples: a Theoretical and Empirical Study with Bayesian Neural Networks
Y. Gal
Lewis Smith
AAML
BDL
66
35
0
02 Jun 2018
Adversarially Robust Generalization Requires More Data
Adversarially Robust Generalization Requires More Data
Ludwig Schmidt
Shibani Santurkar
Dimitris Tsipras
Kunal Talwar
Aleksander Madry
OOD
AAML
118
786
0
30 Apr 2018
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Speech Commands: A Dataset for Limited-Vocabulary Speech Recognition
Pete Warden
63
1,599
0
09 Apr 2018
An Overview of Vulnerabilities of Voice Controlled Systems
An Overview of Vulnerabilities of Voice Controlled Systems
Yuan Gong
C. Poellabauer
47
32
0
24 Mar 2018
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
74
1,076
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
48
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
64
1,862
0
02 Jan 2018
Improving End-to-End Speech Recognition with Policy Learning
Improving End-to-End Speech Recognition with Policy Learning
Yingbo Zhou
Caiming Xiong
R. Socher
58
40
0
19 Dec 2017
Art of singular vectors and universal adversarial perturbations
Art of singular vectors and universal adversarial perturbations
Valentin Khrulkov
Ivan Oseledets
AAML
40
132
0
11 Sep 2017
Fast Feature Fool: A data independent approach to universal adversarial
  perturbations
Fast Feature Fool: A data independent approach to universal adversarial perturbations
Konda Reddy Mopuri
Utsav Garg
R. Venkatesh Babu
AAML
69
206
0
18 Jul 2017
Houdini: Fooling Deep Structured Prediction Models
Houdini: Fooling Deep Structured Prediction Models
Moustapha Cissé
Yossi Adi
Natalia Neverova
Joseph Keshet
AAML
44
269
0
17 Jul 2017
Robustness of classifiers to universal perturbations: a geometric
  perspective
Robustness of classifiers to universal perturbations: a geometric perspective
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
Stefano Soatto
AAML
56
118
0
26 May 2017
Continuous Authentication for Voice Assistants
Continuous Authentication for Voice Assistants
Huan Feng
Kassem Fawaz
Kang G. Shin
AAML
49
267
0
17 Jan 2017
Universal adversarial perturbations
Universal adversarial perturbations
Seyed-Mohsen Moosavi-Dezfooli
Alhussein Fawzi
Omar Fawzi
P. Frossard
AAML
115
2,520
0
26 Oct 2016
Adversarial examples in the physical world
Adversarial examples in the physical world
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
498
5,878
0
08 Jul 2016
End to End Learning for Self-Driving Cars
End to End Learning for Self-Driving Cars
Mariusz Bojarski
D. Testa
Daniel Dworakowski
Bernhard Firner
B. Flepp
...
Urs Muller
Jiakai Zhang
Xin Zhang
Jake Zhao
Karol Zieba
SSL
58
4,153
0
25 Apr 2016
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Deep Speech 2: End-to-End Speech Recognition in English and Mandarin
Dario Amodei
Rishita Anubhai
Eric Battenberg
Carl Case
Jared Casper
...
Chong-Jun Wang
Bo Xiao
Dani Yogatama
J. Zhan
Zhenyao Zhu
111
2,965
0
08 Dec 2015
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
103
4,878
0
14 Nov 2015
DeepDriving: Learning Affordance for Direct Perception in Autonomous
  Driving
DeepDriving: Learning Affordance for Direct Perception in Autonomous Driving
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
95
1,757
0
01 May 2015
Explaining and Harnessing Adversarial Examples
Explaining and Harnessing Adversarial Examples
Ian Goodfellow
Jonathon Shlens
Christian Szegedy
AAML
GAN
186
18,922
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
161
2,119
0
17 Dec 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
194
14,831
1
21 Dec 2013
1