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Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR
  Models

Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models

6 April 2021
Zhiyun Lu
Wei Han
Yu Zhang
Liangliang Cao
    AAML
ArXivPDFHTML

Papers citing "Exploring Targeted Universal Adversarial Perturbations to End-to-end ASR Models"

5 / 5 papers shown
Title
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech
  Foundation Models
Muting Whisper: A Universal Acoustic Adversarial Attack on Speech Foundation Models
Vyas Raina
Rao Ma
Charles G McGhee
Kate Knill
Mark J. F. Gales
AAML
33
5
0
09 May 2024
Phonemic Adversarial Attack against Audio Recognition in Real World
Phonemic Adversarial Attack against Audio Recognition in Real World
Jiakai Wang
Zhendong Chen
Zixin Yin
Qinghong Yang
Xianglong Liu
AAML
37
3
0
19 Nov 2022
There is more than one kind of robustness: Fooling Whisper with
  adversarial examples
There is more than one kind of robustness: Fooling Whisper with adversarial examples
R. Olivier
Bhiksha Raj
AAML
40
12
0
26 Oct 2022
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples
  on Self-Supervised Speech Recognition models
Watch What You Pretrain For: Targeted, Transferable Adversarial Examples on Self-Supervised Speech Recognition models
R. Olivier
H. Abdullah
Bhiksha Raj
AAML
26
1
0
17 Sep 2022
Generating Natural Language Adversarial Examples
Generating Natural Language Adversarial Examples
M. Alzantot
Yash Sharma
Ahmed Elgohary
Bo-Jhang Ho
Mani B. Srivastava
Kai-Wei Chang
AAML
250
915
0
21 Apr 2018
1