Malware has been one of the most damaging threats to computers that span across multiple
operating systems and various file formats. To defend against ever-increasing and ever …

In recent years, significant progress has been achieved using deep neural networks (DNNs)
in obtaining human-level performance on various long-standing tasks. With the increased …

While federated learning (FL) is a well-known privacy-preserving (PP) solution, recent
studies demonstrate that it still has privacy problems and vulnerabilities, particularly in the …

Voice Recognition Systems (VRSs) employ deep learning for speech recognition and
speaker recognition. They have been widely deployed in various real-world applications …

Voice anti-spoofing is an important step for secure speaker verification in voice-enabled
Internet of Things (IoT) systems. Most voice spoofing detection methods require significant …

Recent advances in generative AI have significantly expanded into the realms of art and
music. This development has opened up a vast realm of possibilities, pushing the …

Although the security of automatic speaker verification (ASV) is seriously threatened by
recently emerged adversarial attacks, there have been some countermeasures to alleviate …

To address the barrier caused by the black-box nature of Deep Learning (DL) for practical
deployment, eXplainable Artificial Intelligence (XAI) has emerged and is developing rapidly …

Text-to-speech (TTS) has been extensively studied for generating high-quality speech with
textual inputs, playing a crucial role in various real-time applications. For real-world …

Abstract Machine learning-based methods have been widely used in malware detection.
However, recent studies show that models based on machine learning (or deep learning) …