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 …

Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …

Recent years have seen a proliferation of research on adversarial machine learning.
Numerous papers demonstrate powerful algorithmic attacks against a wide variety of …

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 …

Adversarial attacks against commercial black-box speech platforms, including cloud speech
APIs and voice control devices, have received little attention until recent years. Constructing …

Currently, Android malware detection is mostly performed on server side against the
increasing number of malware. Powerful computing resource provides more exhaustive …

Though playing an essential role in smart home systems, smart speakers are vulnerable to
voice spoofing attacks. Passive liveness detection, which utilizes only the collected audio …

Machine learning (ML), especially deep learning (DL) techniques have been increasingly
used in anomaly-based network intrusion detection systems (NIDS). However, ML/DL has …

With the emergence of the voice personal assistant (VPA) ecosystem, third-party developers
are allowed to build new voice-apps are called skills in the Amazon Alexa platform and …

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 …