Voice assistants (VA) have become prevalent on a wide range of personal devices such as
smartphones and smart speakers. As companies build voice assistants with extra …

Speaker recognition is a task that identifies the speaker from multiple audios. Recently,
advances in deep learning have considerably boosted the development of speech signal …

Speaker recognition systems (SRSs) have recently been shown to be vulnerable to
adversarial attacks, raising significant security concerns. In this work, we systematically …

Recent work has illuminated the vulnerability of speaker recognition systems (SRSs) against
adversarial attacks, raising significant security concerns in deploying SRSs. However, they …

Sharing real-world speech utterances is key to the training and deployment of voice-based
services. However, it also raises privacy risks as speech contains a wealth of personal data …

As governments and corporations adopt deep learning systems to collect and analyze user-
generated audio data, concerns about security and privacy naturally emerge in areas such …

In autonomous driving, millimeter wave (mmWave) radar has been widely adopted for object
detection because of its robustness and reliability under various weather and lighting …

Speaker recognition based on deep learning is currently the most advanced and
mainstream technology in the industry. Adversarial attacks, an emerging and powerful attack …

Adversarial attacks have been expanded to speaker recognition (SR). However, existing
attacks are often assessed using different SR models, recognition tasks and datasets, and …

Adversarial attack approaches to speaker identification either need high computational cost
or are not very effective, to our knowledge. To address this issue, in this letter, we propose a …