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How to Construct Perfect and Worse-than-Coin-Flip Spoofing
  Countermeasures: A Word of Warning on Shortcut Learning

How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning

31 May 2023
Hye-jin Shim
Rosa González Hautamäki
Md. Sahidullah
Tomi Kinnunen
    AAML
ArXivPDFHTML

Papers citing "How to Construct Perfect and Worse-than-Coin-Flip Spoofing Countermeasures: A Word of Warning on Shortcut Learning"

4 / 4 papers shown
Title
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph
  Attention Networks
AASIST: Audio Anti-Spoofing using Integrated Spectro-Temporal Graph Attention Networks
Jee-weon Jung
Hee-Soo Heo
Hemlata Tak
Hye-jin Shim
Joon Son Chung
Bong-Jin Lee
Ha-Jin Yu
Nicholas W. D. Evans
130
279
0
04 Oct 2021
A Survey on Bias and Fairness in Machine Learning
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDa
FaML
294
4,187
0
23 Aug 2019
VoxCeleb2: Deep Speaker Recognition
VoxCeleb2: Deep Speaker Recognition
Joon Son Chung
Arsha Nagrani
Andrew Zisserman
214
2,224
0
14 Jun 2018
Methods for Interpreting and Understanding Deep Neural Networks
Methods for Interpreting and Understanding Deep Neural Networks
G. Montavon
Wojciech Samek
K. Müller
FaML
234
2,233
0
24 Jun 2017
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