28 citations · 48 across the 11 of their papers we have counts for
6 papers · 1 filter
Fake the Real: Backdoor Attack on Deep Speech Classification via Voice Conversion
Zhe Ye, Terui Mao, Li Dong +1
Deep speech classification has achieved tremendous success and greatly promoted the emergence of many real-world applications. However, backdoor attacks present a new security thre…
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…
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…
Residual-Guided Non-Intrusive Speech Quality Assessment
Zhe Ye, Jiahao Chen, Diqun Yan
This paper proposes an approach to improve Non-Intrusive speech quality assessment(NI-SQA) based on the residuals between impaired speech and enhanced speech. The difficulty in our…
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…
Identification of fake stereo audio
Tianyun Liu, Diqun Yan
Channel is one of the important criterions for digital audio quality. General-ly, stereo audio two channels can provide better perceptual quality than mono audio. To seek illegal c…