Audio deepfake detection is an emerging active topic. A growing number of literatures have
aimed to study deepfake detection algorithms and achieved effective performance, the …

Recent advancements in AI, especially deep learning, have contributed to a significant
increase in the creation of new realistic-looking synthetic media (video, image, and audio) …

In recent years, generative artificial intelligence models, represented by Large Language
Models (LLMs) and Diffusion Models (DMs), have revolutionized content production …

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are
extensively being harnessed across a diverse range of domains, eg, forensic science …

Detecting Artificial Intelligence: A New Cyberarms Race Begins Page 1 100 COMPUTER
PUBLISHED BY THE IEEE COMPUTER SOCIETY 0018-9162/23©2023IEEE IT INNOVATION …

In this paper, we propose a deep-learning-based system for the task of deepfake audio
detection. This work is a part of the proposed toolchain for speech analysis in EUCINF …

Deepfake technology presents significant challenges for digital media forensics. As
deepfakes become increasingly sophisticated, the ability to detect and attribute manipulated …

With the ever-rising quality of deep generative models, it is increasingly important to be able
to discern whether the audio data at hand have been recorded or synthesized. Although the …

The proliferation of fake voices has become a concerning issue, making it increasingly
challenging to distinguish between authentic and fabricated audio recordings. Notable …

语音深度伪造技术是利用深度学**方法进行合成或生成语音的技术. 人工智能生成内容技术的
快速迭代与优化, 推动了语音深度伪造技术在伪造语音的自然度, 逼真度和多样性等方面取得 …