The advent of artificial intelligence-generated content (AIGC) represents a pivotal moment in
the evolution of information technology. With AIGC, it can be effortless to generate high …

3D Gaussian Splatting (3DGS) has already become the emerging research focus in the
fields of 3D scene reconstruction and novel view synthesis. Given that training a 3DGS …

The increasing realism of synthetic speech, driven by advancements in text-tospeech
models, raises ethical concerns regarding impersonation and disinformation. Audio …

Large Generative AI (GAI) models have the unparalleled ability to generate text, images,
audio, and other forms of media that are increasingly indistinguishable from human …

Amid the burgeoning development of generative models like diffusion models, the task of
differentiating synthesized audio from its natural counterpart grows more daunting …

As the outputs of generative AI (GenAI) techniques improve in quality, it becomes
increasingly challenging to distinguish them from human-created content. Watermarking …

Advancements in speech synthesis technology bring generated speech closer to natural
human voices, but they also introduce a series of potential risks, such as the dissemination …

Recent advances in speech spoofing necessitate stronger verification mechanisms in neural
speech codecs to ensure authenticity. Current methods embed numerical watermarks before …

The rise of Deepfake technology presents a significant challenge to the integrity of
information. Most existing Deepfake detection methods rely on visual artifacts to distinguish …

Recently, adversarial machine learning attacks have posed serious security threats against
practical audio signal classification systems, including speech recognition, speaker …