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1911.10182
Cited By
Universal adversarial examples in speech command classification
22 November 2019
Jon Vadillo
Roberto Santana
AAML
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Papers citing
"Universal adversarial examples in speech command classification"
26 / 26 papers shown
Title
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
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
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
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
Y. Gal
Lewis Smith
AAML
BDL
66
35
0
02 Jun 2018
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
Pete Warden
63
1,599
0
09 Apr 2018
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
Nicholas Carlini
D. Wagner
AAML
74
1,076
0
05 Jan 2018
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
Naveed Akhtar
Ajmal Mian
AAML
64
1,862
0
02 Jan 2018
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
Valentin Khrulkov
Ivan Oseledets
AAML
40
132
0
11 Sep 2017
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
Moustapha Cissé
Yossi Adi
Natalia Neverova
Joseph Keshet
AAML
44
269
0
17 Jul 2017
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
Huan Feng
Kassem Fawaz
Kang G. Shin
AAML
49
267
0
17 Jan 2017
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
Alexey Kurakin
Ian Goodfellow
Samy Bengio
SILM
AAML
498
5,878
0
08 Jul 2016
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
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
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
Chenyi Chen
Ari Seff
A. Kornhauser
Jianxiong Xiao
95
1,757
0
01 May 2015
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
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
Christian Szegedy
Wojciech Zaremba
Ilya Sutskever
Joan Bruna
D. Erhan
Ian Goodfellow
Rob Fergus
AAML
194
14,831
1
21 Dec 2013
1