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Spoofing attack augmentation: can differently-trained attack models
  improve generalisation?

Spoofing attack augmentation: can differently-trained attack models improve generalisation?

18 September 2023
W. Ge
Xin Wang
Junichi Yamagishi
Massimiliano Todisco
Nicholas W. D. Evans
    AAML
ArXivPDFHTML

Papers citing "Spoofing attack augmentation: can differently-trained attack models improve generalisation?"

6 / 6 papers shown
Title
LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
LlamaPartialSpoof: An LLM-Driven Fake Speech Dataset Simulating Disinformation Generation
Hieu-Thi Luong
Haoyang Li
Lin Zhang
Kong Aik Lee
Eng Siong Chng
54
2
0
23 Sep 2024
Audio Anti-Spoofing Detection: A Survey
Audio Anti-Spoofing Detection: A Survey
Menglu Li
Yasaman Ahmadiadli
Xiao-Ping Zhang
26
16
0
22 Apr 2024
Defense Against Adversarial Attacks on Audio DeepFake Detection
Defense Against Adversarial Attacks on Audio DeepFake Detection
Piotr Kawa
Marcin Plata
P. Syga
AAML
27
7
0
30 Dec 2022
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
ASVspoof 2021: Towards Spoofed and Deepfake Speech Detection in the Wild
Xuechen Liu
Xin Wang
Md. Sahidullah
J. Patino
Héctor Delgado
...
Massimiliano Todisco
Junichi Yamagishi
Nicholas W. D. Evans
A. Nautsch
Kong Aik Lee
27
169
0
05 Oct 2022
Self-Supervised Speech Representation Learning: A Review
Self-Supervised Speech Representation Learning: A Review
Abdel-rahman Mohamed
Hung-yi Lee
Lasse Borgholt
Jakob Drachmann Havtorn
Joakim Edin
...
Shang-Wen Li
Karen Livescu
Lars Maaløe
Tara N. Sainath
Shinji Watanabe
SSL
AI4TS
124
344
0
21 May 2022
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
1