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Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

Audio Adversarial Examples: Targeted Attacks on Speech-to-Text

5 January 2018
Nicholas Carlini
D. Wagner
    AAML
ArXivPDFHTML

Papers citing "Audio Adversarial Examples: Targeted Attacks on Speech-to-Text"

50 / 177 papers shown
Title
Adversarial Examples on Object Recognition: A Comprehensive Survey
Adversarial Examples on Object Recognition: A Comprehensive Survey
A. Serban
E. Poll
Joost Visser
AAML
27
73
0
07 Aug 2020
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting
  Principal Components
Adversarial Attacks against Neural Networks in Audio Domain: Exploiting Principal Components
Ken Alparslan
Yigit Can Alparslan
Matthew Burlick
AAML
24
8
0
14 Jul 2020
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic
  Speech Recognition and Speaker Identification Systems
SoK: The Faults in our ASRs: An Overview of Attacks against Automatic Speech Recognition and Speaker Identification Systems
H. Abdullah
Kevin Warren
Vincent Bindschaedler
Nicolas Papernot
Patrick Traynor
AAML
29
128
0
13 Jul 2020
A Le Cam Type Bound for Adversarial Learning and Applications
A Le Cam Type Bound for Adversarial Learning and Applications
Qiuling Xu
Kevin Bello
Jean Honorio
AAML
23
1
0
01 Jul 2020
Subpopulation Data Poisoning Attacks
Subpopulation Data Poisoning Attacks
Matthew Jagielski
Giorgio Severi
Niklas Pousette Harger
Alina Oprea
AAML
SILM
24
114
0
24 Jun 2020
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N
  Recommenders that Use Images to Address Cold Start
Adversarial Item Promotion: Vulnerabilities at the Core of Top-N Recommenders that Use Images to Address Cold Start
Zhuoran Liu
Martha Larson
DiffM
25
27
0
02 Jun 2020
Inaudible Adversarial Perturbations for Targeted Attack in Speaker
  Recognition
Inaudible Adversarial Perturbations for Targeted Attack in Speaker Recognition
Qing Wang
Pengcheng Guo
Lei Xie
AAML
24
57
0
21 May 2020
Learning Robust Models for e-Commerce Product Search
Learning Robust Models for e-Commerce Product Search
Thanh V. Nguyen
Nikhil S. Rao
Karthik Subbian
CML
NoLa
OOD
24
20
0
07 May 2020
Adversarial Learning Guarantees for Linear Hypotheses and Neural
  Networks
Adversarial Learning Guarantees for Linear Hypotheses and Neural Networks
Pranjal Awasthi
Natalie Frank
M. Mohri
AAML
36
56
0
28 Apr 2020
Towards Evaluating the Robustness of Chinese BERT Classifiers
Towards Evaluating the Robustness of Chinese BERT Classifiers
Wei Ping
Boyuan Pan
Xin Li
Bo-wen Li
AAML
34
8
0
07 Apr 2020
Characterizing Speech Adversarial Examples Using Self-Attention U-Net
  Enhancement
Characterizing Speech Adversarial Examples Using Self-Attention U-Net Enhancement
Chao-Han Huck Yang
Jun Qi
Pin-Yu Chen
Xiaoli Ma
Chin-Hui Lee
AAML
32
53
0
31 Mar 2020
Real-time, Universal, and Robust Adversarial Attacks Against Speaker
  Recognition Systems
Real-time, Universal, and Robust Adversarial Attacks Against Speaker Recognition Systems
Yi Xie
Cong Shi
Zhuohang Li
Jian-Dong Liu
Yingying Chen
Bo Yuan
AAML
84
95
0
04 Mar 2020
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve
  Adversarial Robustness
Learn2Perturb: an End-to-end Feature Perturbation Learning to Improve Adversarial Robustness
Ahmadreza Jeddi
M. Shafiee
Michelle Karg
C. Scharfenberger
A. Wong
OOD
AAML
67
63
0
02 Mar 2020
The Curious Case of Adversarially Robust Models: More Data Can Help,
  Double Descend, or Hurt Generalization
The Curious Case of Adversarially Robust Models: More Data Can Help, Double Descend, or Hurt Generalization
Yifei Min
Lin Chen
Amin Karbasi
AAML
37
69
0
25 Feb 2020
Gödel's Sentence Is An Adversarial Example But Unsolvable
Gödel's Sentence Is An Adversarial Example But Unsolvable
Xiaodong Qi
Lansheng Han
AAML
27
0
0
25 Feb 2020
More Data Can Expand the Generalization Gap Between Adversarially Robust
  and Standard Models
More Data Can Expand the Generalization Gap Between Adversarially Robust and Standard Models
Lin Chen
Yifei Min
Mingrui Zhang
Amin Karbasi
OOD
38
64
0
11 Feb 2020
On the human evaluation of audio adversarial examples
On the human evaluation of audio adversarial examples
Jon Vadillo
Roberto Santana
AAML
33
3
0
23 Jan 2020
A Little Fog for a Large Turn
A Little Fog for a Large Turn
Harshitha Machiraju
V. Balasubramanian
AAML
15
9
0
16 Jan 2020
Advbox: a toolbox to generate adversarial examples that fool neural
  networks
Advbox: a toolbox to generate adversarial examples that fool neural networks
Dou Goodman
Xin Hao
Yang Wang
Yuesheng Wu
Junfeng Xiong
Huan Zhang
AAML
15
53
0
13 Jan 2020
Deep Representation Learning in Speech Processing: Challenges, Recent
  Advances, and Future Trends
Deep Representation Learning in Speech Processing: Challenges, Recent Advances, and Future Trends
S. Latif
R. Rana
Sara Khalifa
Raja Jurdak
Junaid Qadir
Björn W. Schuller
AI4TS
32
81
0
02 Jan 2020
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Deep Neural Network Fingerprinting by Conferrable Adversarial Examples
Nils Lukas
Yuxuan Zhang
Florian Kerschbaum
MLAU
FedML
AAML
36
144
0
02 Dec 2019
Universal adversarial examples in speech command classification
Universal adversarial examples in speech command classification
Jon Vadillo
Roberto Santana
AAML
34
29
0
22 Nov 2019
Generate (non-software) Bugs to Fool Classifiers
Generate (non-software) Bugs to Fool Classifiers
Hiromu Yakura
Youhei Akimoto
Jun Sakuma
AAML
25
10
0
20 Nov 2019
Adversarial Examples in Modern Machine Learning: A Review
Adversarial Examples in Modern Machine Learning: A Review
R. Wiyatno
Anqi Xu
Ousmane Amadou Dia
A. D. Berker
AAML
18
104
0
13 Nov 2019
Adversarial Attacks on GMM i-vector based Speaker Verification Systems
Adversarial Attacks on GMM i-vector based Speaker Verification Systems
Xu Li
Jinghua Zhong
Xixin Wu
Jianwei Yu
Xunying Liu
Helen Meng
AAML
23
78
0
08 Nov 2019
Active Learning for Black-Box Adversarial Attacks in EEG-Based
  Brain-Computer Interfaces
Active Learning for Black-Box Adversarial Attacks in EEG-Based Brain-Computer Interfaces
Xue Jiang
Xiao Zhang
Dongrui Wu
AAML
21
16
0
07 Nov 2019
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
Who is Real Bob? Adversarial Attacks on Speaker Recognition Systems
Guangke Chen
Sen Chen
Lingling Fan
Xiaoning Du
Zhe Zhao
Fu Song
Yang Liu
AAML
19
194
0
03 Nov 2019
Adversarial Example Detection by Classification for Deep Speech
  Recognition
Adversarial Example Detection by Classification for Deep Speech Recognition
Saeid Samizade
Zheng-Hua Tan
Chao Shen
X. Guan
AAML
18
35
0
22 Oct 2019
Adversarial Attacks on Spoofing Countermeasures of automatic speaker
  verification
Adversarial Attacks on Spoofing Countermeasures of automatic speaker verification
Songxiang Liu
Haibin Wu
Hung-yi Lee
Helen Meng
AAML
36
65
0
19 Oct 2019
Adversarial T-shirt! Evading Person Detectors in A Physical World
Adversarial T-shirt! Evading Person Detectors in A Physical World
Kaidi Xu
Gaoyuan Zhang
Sijia Liu
Quanfu Fan
Mengshu Sun
Hongge Chen
Pin-Yu Chen
Yanzhi Wang
Xue Lin
AAML
14
30
0
18 Oct 2019
A New Defense Against Adversarial Images: Turning a Weakness into a
  Strength
A New Defense Against Adversarial Images: Turning a Weakness into a Strength
Tao Yu
Shengyuan Hu
Chuan Guo
Wei-Lun Chao
Kilian Q. Weinberger
AAML
58
101
0
16 Oct 2019
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Mixup Inference: Better Exploiting Mixup to Defend Adversarial Attacks
Tianyu Pang
Kun Xu
Jun Zhu
AAML
28
103
0
25 Sep 2019
Emotion Filtering at the Edge
Emotion Filtering at the Edge
Ranya Aloufi
Hamed Haddadi
David E. Boyle
8
19
0
18 Sep 2019
Universal Physical Camouflage Attacks on Object Detectors
Universal Physical Camouflage Attacks on Object Detectors
Lifeng Huang
Chengying Gao
Yuyin Zhou
Cihang Xie
Alan Yuille
C. Zou
Ning Liu
AAML
143
162
0
10 Sep 2019
Universal Adversarial Audio Perturbations
Universal Adversarial Audio Perturbations
Sajjad Abdoli
L. G. Hafemann
Jérôme Rony
Ismail Ben Ayed
P. Cardinal
Alessandro Lameiras Koerich
AAML
25
51
0
08 Aug 2019
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech
  Recognition Systems
Imperio: Robust Over-the-Air Adversarial Examples for Automatic Speech Recognition Systems
Lea Schonherr
Thorsten Eisenhofer
Steffen Zeiler
Thorsten Holz
D. Kolossa
AAML
54
63
0
05 Aug 2019
Defense Against Adversarial Attacks Using Feature Scattering-based
  Adversarial Training
Defense Against Adversarial Attacks Using Feature Scattering-based Adversarial Training
Haichao Zhang
Jianyu Wang
AAML
23
230
0
24 Jul 2019
Perceptual Based Adversarial Audio Attacks
Perceptual Based Adversarial Audio Attacks
Joseph Szurley
J. Zico Kolter
AAML
24
25
0
14 Jun 2019
Adversarial Attack Generation Empowered by Min-Max Optimization
Adversarial Attack Generation Empowered by Min-Max Optimization
Jingkang Wang
Tianyun Zhang
Sijia Liu
Pin-Yu Chen
Jiacen Xu
M. Fardad
Yangqiu Song
AAML
25
35
0
09 Jun 2019
Securing Connected & Autonomous Vehicles: Challenges Posed by
  Adversarial Machine Learning and The Way Forward
Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and The Way Forward
A. Qayyum
Muhammad Usama
Junaid Qadir
Ala I. Al-Fuqaha
AAML
21
187
0
29 May 2019
Thwarting finite difference adversarial attacks with output
  randomization
Thwarting finite difference adversarial attacks with output randomization
Haidar Khan
Daniel Park
Azer Khan
B. Yener
SILM
AAML
33
0
0
23 May 2019
Taking Care of The Discretization Problem: A Comprehensive Study of the
  Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer
  Domain
Taking Care of The Discretization Problem: A Comprehensive Study of the Discretization Problem and A Black-Box Adversarial Attack in Discrete Integer Domain
Lei Bu
Yuchao Duan
Fu Song
Zhe Zhao
AAML
32
18
0
19 May 2019
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep
  Learning
Percival: Making In-Browser Perceptual Ad Blocking Practical With Deep Learning
Z. Din
P. Tigas
Samuel T. King
B. Livshits
VLM
39
29
0
17 May 2019
POPQORN: Quantifying Robustness of Recurrent Neural Networks
POPQORN: Quantifying Robustness of Recurrent Neural Networks
Ching-Yun Ko
Zhaoyang Lyu
Tsui-Wei Weng
Luca Daniel
Ngai Wong
Dahua Lin
AAML
17
75
0
17 May 2019
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural
  Networks for Steering Angle Prediction
Are Self-Driving Cars Secure? Evasion Attacks against Deep Neural Networks for Steering Angle Prediction
Alesia Chernikova
Alina Oprea
Cristina Nita-Rotaru
Baekgyu Kim
AAML
13
72
0
15 Apr 2019
Adversarial Learning in Statistical Classification: A Comprehensive
  Review of Defenses Against Attacks
Adversarial Learning in Statistical Classification: A Comprehensive Review of Defenses Against Attacks
David J. Miller
Zhen Xiang
G. Kesidis
AAML
19
35
0
12 Apr 2019
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
On the Vulnerability of CNN Classifiers in EEG-Based BCIs
Xiao Zhang
Dongrui Wu
AAML
24
82
0
31 Mar 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
38
377
0
22 Mar 2019
Smart Home Personal Assistants: A Security and Privacy Review
Smart Home Personal Assistants: A Security and Privacy Review
Jide S. Edu
Jose Such
Guillermo Suarez-Tangil
8
92
0
13 Mar 2019
Detecting Overfitting via Adversarial Examples
Detecting Overfitting via Adversarial Examples
Roman Werpachowski
András Gyorgy
Csaba Szepesvári
TDI
26
45
0
06 Mar 2019
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