Deepfake videos are a growing social issue. These videos are manipulated by artificial
intelligence (AI) techniques (especially deep learning), an emerging societal issue …

Due to the fast spread of data through digital media, individuals and societies must assess
the reliability of information. Deepfakes are not a novel idea but they are now a widespread …

Audio deepfake detection (ADD) is crucial to combat the misuse of speech synthesized by
generative AI models. Existing ADD models suffer from generalization issues to unseen …

In response to the escalating challenge of audio deepfake detection this study introduces
ABC-CapsNet (Attention-Based Cascaded Capsule Network) a novel architecture that …

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) …

With the opportunities and challenges stemming from the artificial intelligence developments
and its integration into society, AI literacy becomes a key concern. Utilizing quality AI literacy …

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

As synthetic media becomes progressively more realistic and barriers to using it continue to
lower, the technology has been increasingly utilized for malicious purposes, from financial …

The increasing prevalence of audio deepfakes poses significant security threats,
necessitating robust detection methods. While existing detection systems exhibit promise …

Fake news significantly influence our society. They impact consumers, voters, and many
other societal groups. While Fake News exist for a centuries, Generative AI brings fake news …