5 citations · 8 across the 5 of their papers we have counts for
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cs.SD2022★ 1 cited
Adversarial Privacy Protection on Speech Enhancement
Mingyu Dong, Diqun Yan, Rangding Wang
Speech is easily leaked imperceptibly, such as being recorded by mobile phones in different situations. Private content in speech may be maliciously extracted through speech enhanc…
cs.SD2022★ 1 cited
Transferability of Adversarial Attacks on Synthetic Speech Detection
Jiacheng Deng, Shunyi Chen, Li Dong +2
Synthetic speech detection is one of the most important research problems in audio security. Meanwhile, deep neural networks are vulnerable to adversarial attacks. Therefore, we es…
cs.SD2021★ 1 cited
Adversarial Example Devastation and Detection on Speech Recognition System by Adding Random Noise
Mingyu Dong, Diqun Yan, Yongkang Gong +1
An automatic speech recognition (ASR) system based on a deep neural network is vulnerable to attack by an adversarial example, especially if the command-dependent ASR fails. A defe…