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2211.06508
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On the robustness of non-intrusive speech quality model by adversarial examples
11 November 2022
Hsin-Yi Lin
Huan-Hsin Tseng
Yu Tsao
AAML
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Papers citing
"On the robustness of non-intrusive speech quality model by adversarial examples"
8 / 8 papers shown
Title
ICASSP 2023 Deep Noise Suppression Challenge
Harishchandra Dubey
A. Aazami
Vishak Gopal
Sergiy Matusevych
Sebastian Braun
...
Sefik Emre Eskimez
Manthan Thakker
H. Gamper
Takuya Yoshioka
R. Aichner
46
93
0
21 Mar 2023
The INTERSPEECH 2020 Deep Noise Suppression Challenge: Datasets, Subjective Testing Framework, and Challenge Results
Chandan K. A. Reddy
Vishak Gopal
Ross Cutler
Ebrahim Beyrami
R. Cheng
...
A. Aazami
Sebastian Braun
Puneet Rana
Sriram Srinivasan
J. Gehrke
81
313
0
16 May 2020
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition
Yao Qin
Nicholas Carlini
Ian Goodfellow
G. Cottrell
Colin Raffel
AAML
66
379
0
22 Mar 2019
Non-intrusive speech quality assessment using neural networks
Anderson R. Avila
H. Gamper
Chandan K. A. Reddy
Ross Cutler
I. Tashev
J. Gehrke
33
110
0
16 Mar 2019
Audio Adversarial Examples: Targeted Attacks on Speech-to-Text
Nicholas Carlini
D. Wagner
AAML
88
1,077
0
05 Jan 2018
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry
Aleksandar Makelov
Ludwig Schmidt
Dimitris Tsipras
Adrian Vladu
SILM
OOD
265
12,029
0
19 Jun 2017
Adversarial Machine Learning at Scale
Alexey Kurakin
Ian Goodfellow
Samy Bengio
AAML
461
3,138
0
04 Nov 2016
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
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