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 …

Existing efforts in audio adversarial attacks only focus on the scenarios where an adversary
has prior knowledge of the entire speech input so as to generate an adversarial example by …

The intriguing phenomenon of adversarial examples has attracted significant attention in
machine learning and what might be more surprising to the community is the existence of …

Machine learning-based malware analysis approaches are widely researched and
deployed in critical infrastructures for detecting and classifying evasive and growing …

Machine learning models have made many decision support systems to be faster, more
accurate, and more efficient. However, applications of machine learning in network security …

Security of automatic speaker verification (ASV) systems is compromised by various
spoofing attacks. While many types of non-proactive attacks (and their defenses) have been …

Metaverse is expected to emerge as a new paradigm for the next-generation Internet,
providing fully immersive and personalized experiences to socialize, work, and play in self …

In authentication scenarios, applications of practical speaker verification systems usually
require a person to read a dynamic authentication text. Previous studies played an audio …

Millimeter-wave (mmWave) sensing has been applied in many critical applications, serving
millions of thousands of people around the world. However, it is vulnerable to attacks in the …