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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 Attacks on Speech Recognition Systems for Mission-Critical
  Applications: A Survey
Adversarial Attacks on Speech Recognition Systems for Mission-Critical Applications: A Survey
Ngoc Dung Huynh
Mohamed Reda Bouadjenek
Imran Razzak
Kevin Lee
Chetan Arora
Ali Hassani
A. Zaslavsky
AAML
34
6
0
22 Feb 2022
Random Walks for Adversarial Meshes
Random Walks for Adversarial Meshes
Amir Belder
Gal Yefet
Ran Ben Izhak
A. Tal
AAML
33
2
0
15 Feb 2022
Visualizing Automatic Speech Recognition -- Means for a Better
  Understanding?
Visualizing Automatic Speech Recognition -- Means for a Better Understanding?
Karla Markert
Romain Parracone
Mykhailo Kulakov
Philip Sperl
Ching-yu Kao
Konstantin Böttinger
19
8
0
01 Feb 2022
Language Dependencies in Adversarial Attacks on Speech Recognition
  Systems
Language Dependencies in Adversarial Attacks on Speech Recognition Systems
Karla Markert
Donika Mirdita
Konstantin Böttinger
AAML
SILM
27
4
0
01 Feb 2022
Neural Population Geometry Reveals the Role of Stochasticity in Robust
  Perception
Neural Population Geometry Reveals the Role of Stochasticity in Robust Perception
Joel Dapello
J. Feather
Hang Le
Tiago Marques
David D. Cox
Josh H. McDermott
J. DiCarlo
SueYeon Chung
AAML
OOD
19
25
0
12 Nov 2021
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of
  Language Models
Adversarial GLUE: A Multi-Task Benchmark for Robustness Evaluation of Language Models
Wei Ping
Chejian Xu
Shuohang Wang
Zhe Gan
Yu Cheng
Jianfeng Gao
Ahmed Hassan Awadallah
Yangqiu Song
VLM
ELM
AAML
33
216
0
04 Nov 2021
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
WaveFake: A Data Set to Facilitate Audio Deepfake Detection
Joel Frank
Lea Schonherr
DiffM
129
125
0
04 Nov 2021
LTD: Low Temperature Distillation for Robust Adversarial Training
LTD: Low Temperature Distillation for Robust Adversarial Training
Erh-Chung Chen
Che-Rung Lee
AAML
27
26
0
03 Nov 2021
Generating Watermarked Adversarial Texts
Generating Watermarked Adversarial Texts
Mingjie Li
Hanzhou Wu
Xinpeng Zhang
AAML
WaLM
24
1
0
25 Oct 2021
AequeVox: Automated Fairness Testing of Speech Recognition Systems
AequeVox: Automated Fairness Testing of Speech Recognition Systems
Sai Sathiesh Rajan
Sakshi Udeshi
Sudipta Chattopadhyay
28
15
0
19 Oct 2021
Black-box Adversarial Attacks on Commercial Speech Platforms with
  Minimal Information
Black-box Adversarial Attacks on Commercial Speech Platforms with Minimal Information
Baolin Zheng
Peipei Jiang
Qian Wang
Qi Li
Chao Shen
Cong Wang
Yunjie Ge
Qingyang Teng
Shenyi Zhang
AAML
18
69
0
19 Oct 2021
Automated Testing of AI Models
Automated Testing of AI Models
Swagatam Haldar
Deepak Vijaykeerthy
Diptikalyan Saha
VLM
21
0
0
07 Oct 2021
Interpretability in Safety-Critical FinancialTrading Systems
Interpretability in Safety-Critical FinancialTrading Systems
Gabriel Deza
Adelin Travers
C. Rowat
Nicolas Papernot
AAML
AIFin
21
1
0
24 Sep 2021
SoK: Machine Learning Governance
SoK: Machine Learning Governance
Varun Chandrasekaran
Hengrui Jia
Anvith Thudi
Adelin Travers
Mohammad Yaghini
Nicolas Papernot
38
16
0
20 Sep 2021
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in
  Text Classification
BERT is Robust! A Case Against Synonym-Based Adversarial Examples in Text Classification
J. Hauser
Zhao Meng
Damian Pascual
Roger Wattenhofer
OOD
SILM
AAML
193
14
0
15 Sep 2021
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
The mathematics of adversarial attacks in AI -- Why deep learning is unstable despite the existence of stable neural networks
Alexander Bastounis
A. Hansen
Verner Vlacic
AAML
OOD
32
28
0
13 Sep 2021
SEC4SR: A Security Analysis Platform for Speaker Recognition
SEC4SR: A Security Analysis Platform for Speaker Recognition
Guangke Chen
Zhe Zhao
Fu Song
Sen Chen
Lingling Fan
Yang Liu
AAML
25
12
0
04 Sep 2021
Disrupting Adversarial Transferability in Deep Neural Networks
Disrupting Adversarial Transferability in Deep Neural Networks
Christopher Wiedeman
Ge Wang
AAML
36
8
0
27 Aug 2021
Application of Adversarial Examples to Physical ECG Signals
Application of Adversarial Examples to Physical ECG Signals
Taiga Ono
Takeshi Sugawara
Jun Sakuma
Tatsuya Mori
AAML
20
1
0
20 Aug 2021
On the Exploitability of Audio Machine Learning Pipelines to
  Surreptitious Adversarial Examples
On the Exploitability of Audio Machine Learning Pipelines to Surreptitious Adversarial Examples
Adelin Travers
Lorna Licollari
Guanghan Wang
Varun Chandrasekaran
Adam Dziedzic
David Lie
Nicolas Papernot
AAML
28
3
0
03 Aug 2021
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Can You Hear It? Backdoor Attacks via Ultrasonic Triggers
Stefanos Koffas
Jing Xu
Mauro Conti
S. Picek
AAML
22
66
0
30 Jul 2021
On the Veracity of Local, Model-agnostic Explanations in Audio
  Classification: Targeted Investigations with Adversarial Examples
On the Veracity of Local, Model-agnostic Explanations in Audio Classification: Targeted Investigations with Adversarial Examples
Verena Praher
Katharina Prinz
A. Flexer
Gerhard Widmer
AAML
FAtt
19
9
0
19 Jul 2021
Trustworthy AI: A Computational Perspective
Trustworthy AI: A Computational Perspective
Haochen Liu
Yiqi Wang
Wenqi Fan
Xiaorui Liu
Yaxin Li
Shaili Jain
Yunhao Liu
Anil K. Jain
Jiliang Tang
FaML
104
196
0
12 Jul 2021
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
Adversarial Sample Detection for Speaker Verification by Neural Vocoders
Haibin Wu
Po-Chun Hsu
Ji Gao
Shanshan Zhang
Shen Huang
Jian Kang
Zhiyong Wu
Helen Meng
Hung-yi Lee
AAML
27
20
0
01 Jul 2021
Adversarial Visual Robustness by Causal Intervention
Adversarial Visual Robustness by Causal Intervention
Kaihua Tang
Ming Tao
Hanwang Zhang
CML
AAML
27
21
0
17 Jun 2021
Voting for the right answer: Adversarial defense for speaker
  verification
Voting for the right answer: Adversarial defense for speaker verification
Haibin Wu
Yang Zhang
Zhiyong Wu
Dong Wang
Hung-yi Lee
AAML
30
25
0
15 Jun 2021
TDGIA:Effective Injection Attacks on Graph Neural Networks
TDGIA:Effective Injection Attacks on Graph Neural Networks
Xu Zou
Qinkai Zheng
Yuxiao Dong
Xinyu Guan
Evgeny Kharlamov
Jialiang Lu
Jie Tang
AAML
45
100
0
12 Jun 2021
Improving the Adversarial Robustness for Speaker Verification by
  Self-Supervised Learning
Improving the Adversarial Robustness for Speaker Verification by Self-Supervised Learning
Haibin Wu
Xu Li
Andy T. Liu
Zhiyong Wu
Helen Meng
Hung-yi Lee
AAML
SSL
47
29
0
01 Jun 2021
Gradient-based Adversarial Attacks against Text Transformers
Gradient-based Adversarial Attacks against Text Transformers
Chuan Guo
Alexandre Sablayrolles
Hervé Jégou
Douwe Kiela
SILM
106
227
0
15 Apr 2021
Can audio-visual integration strengthen robustness under multimodal
  attacks?
Can audio-visual integration strengthen robustness under multimodal attacks?
Yapeng Tian
Chenliang Xu
AAML
36
37
0
05 Apr 2021
Cyclic Defense GAN Against Speech Adversarial Attacks
Cyclic Defense GAN Against Speech Adversarial Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
27
7
0
26 Mar 2021
BERT: A Review of Applications in Natural Language Processing and
  Understanding
BERT: A Review of Applications in Natural Language Processing and Understanding
M. V. Koroteev
VLM
25
196
0
22 Mar 2021
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial
  Attack
LSDAT: Low-Rank and Sparse Decomposition for Decision-based Adversarial Attack
Ashkan Esmaeili
Marzieh Edraki
Nazanin Rahnavard
M. Shah
Ajmal Mian
AAML
35
2
0
19 Mar 2021
SoK: A Modularized Approach to Study the Security of Automatic Speech
  Recognition Systems
SoK: A Modularized Approach to Study the Security of Automatic Speech Recognition Systems
Yuxuan Chen
Jiangshan Zhang
Xuejing Yuan
Shengzhi Zhang
Kai Chen
Xiaofeng Wang
Shanqing Guo
AAML
37
15
0
19 Mar 2021
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
WaveGuard: Understanding and Mitigating Audio Adversarial Examples
Shehzeen Samarah Hussain
Paarth Neekhara
Shlomo Dubnov
Julian McAuley
F. Koushanfar
AAML
30
71
0
04 Mar 2021
A Multiclass Boosting Framework for Achieving Fast and Provable
  Adversarial Robustness
A Multiclass Boosting Framework for Achieving Fast and Provable Adversarial Robustness
Jacob D. Abernethy
Pranjal Awasthi
Satyen Kale
AAML
27
6
0
01 Mar 2021
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale
  Black-Box Optimization
A Zeroth-Order Block Coordinate Descent Algorithm for Huge-Scale Black-Box Optimization
HanQin Cai
Y. Lou
Daniel McKenzie
W. Yin
29
40
0
21 Feb 2021
Adversarial Attack on Network Embeddings via Supervised Network
  Poisoning
Adversarial Attack on Network Embeddings via Supervised Network Poisoning
Viresh Gupta
Tanmoy Chakraborty
AAML
36
12
0
14 Feb 2021
Adversarial defense for automatic speaker verification by cascaded
  self-supervised learning models
Adversarial defense for automatic speaker verification by cascaded self-supervised learning models
Haibin Wu
Xu Li
Andy T. Liu
Zhiyong Wu
Helen Meng
Hung-yi Lee
AAML
29
40
0
14 Feb 2021
Dompteur: Taming Audio Adversarial Examples
Dompteur: Taming Audio Adversarial Examples
Thorsten Eisenhofer
Lea Schonherr
Joel Frank
Lars Speckemeier
D. Kolossa
Thorsten Holz
AAML
39
24
0
10 Feb 2021
Cortical Features for Defense Against Adversarial Audio Attacks
Cortical Features for Defense Against Adversarial Audio Attacks
Ilya Kavalerov
Frank Zheng
W. Czaja
Ramalingam Chellappa
AAML
27
0
0
30 Jan 2021
Adversarial Attacks for Tabular Data: Application to Fraud Detection and
  Imbalanced Data
Adversarial Attacks for Tabular Data: Application to Fraud Detection and Imbalanced Data
F. Cartella
Orlando Anunciação
Yuki Funabiki
D. Yamaguchi
Toru Akishita
Olivier Elshocht
AAML
61
71
0
20 Jan 2021
Robustness Threats of Differential Privacy
Robustness Threats of Differential Privacy
Nurislam Tursynbek
Aleksandr Petiushko
Ivan Oseledets
AAML
27
14
0
14 Dec 2020
Developing Future Human-Centered Smart Cities: Critical Analysis of
  Smart City Security, Interpretability, and Ethical Challenges
Developing Future Human-Centered Smart Cities: Critical Analysis of Smart City Security, Interpretability, and Ethical Challenges
Kashif Ahmad
Majdi Maabreh
M. Ghaly
Khalil Khan
Junaid Qadir
Ala I. Al-Fuqaha
27
142
0
14 Dec 2020
Recent Advances in Understanding Adversarial Robustness of Deep Neural
  Networks
Recent Advances in Understanding Adversarial Robustness of Deep Neural Networks
Tao Bai
Jinqi Luo
Jun Zhao
AAML
49
8
0
03 Nov 2020
Class-Conditional Defense GAN Against End-to-End Speech Attacks
Class-Conditional Defense GAN Against End-to-End Speech Attacks
Mohammad Esmaeilpour
P. Cardinal
Alessandro Lameiras Koerich
AAML
21
14
0
22 Oct 2020
Explaining Deep Neural Networks
Explaining Deep Neural Networks
Oana-Maria Camburu
XAI
FAtt
33
26
0
04 Oct 2020
The Intriguing Relation Between Counterfactual Explanations and
  Adversarial Examples
The Intriguing Relation Between Counterfactual Explanations and Adversarial Examples
Timo Freiesleben
GAN
41
62
0
11 Sep 2020
Adversarial Machine Learning in Image Classification: A Survey Towards
  the Defender's Perspective
Adversarial Machine Learning in Image Classification: A Survey Towards the Defender's Perspective
G. R. Machado
Eugênio Silva
R. Goldschmidt
AAML
33
157
0
08 Sep 2020
Enhancing Robustness Against Adversarial Examples in Network Intrusion
  Detection Systems
Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems
Mohammad J. Hashemi
Eric Keller
AAML
14
25
0
09 Aug 2020
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