Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model

24 May 2023

Papers citing "Spoofing Attacker Also Benefits from Self-Supervised Pretrained Model"

4 / 4 papers shown

Title
Toward Improving Synthetic Audio Spoofing Detection Robustness via Meta-Learning and Disentangled Training With Adversarial Examples Zhenyu Wang John H. L. Hansen AAML 32 1 0 23 Aug 2024
Characterizing the adversarial vulnerability of speech self-supervised learning Haibin Wu Bo Zheng Xu Li Xixin Wu Hung-yi Lee Helen Meng AAML SSL 127 7 0 08 Nov 2021
Fine-tuning wav2vec2 for speaker recognition Nik Vaessen David A. van Leeuwen 39 107 0 30 Sep 2021
Exploring wav2vec 2.0 on speaker verification and language identification Zhiyun Fan Meng Li Shiyu Zhou Bo Xu 117 202 0 11 Dec 2020