Over the last few decades, rapid progress in AI, machine learning, and deep learning has
resulted in new techniques and various tools for manipulating multimedia. Though the …

Recent advances in technology have made the deep learning (DL) models available for use
in a wide variety of novel applications; for example, generative adversarial network (GAN) …

Deepfake detection is formulated as a hypothesis testing problem to classify an image as
genuine or GAN-generated. A robust statistics view of GANs is considered to bound the error …

In recent years, advances in technology, specifically in machine learning, artificial
intelligence, and deep learning, have made it possible to create highly convincing fake …

El deepfake es una especie mediática que evoluciona progresivamente como una amenaza
para los dicursos del hacer creer en tiempos de la posverdad. Este estudio tiene como …

Introducción: El estudio aborda la problemática de los deepfakes y su efecto en la
percepción pública, destacando su evolución desde prácticas antiguas de manipulación …

In recent years, the rapid advancements in machine learning (ML), artificial intelligence (AI),
and deep learning (DL) have ushered in a new era of sophistication in image and video …

As techniques and tools for synthetic media and Deepfakes continue to advance, it is
increasingly clear that video, audio and images can no longer be relied upon as truthful …

Rapid advances in artificial intelligence (AI), machine learning (ML), and deep learning (DL)
over the past several decades have produced a variety of technologies and tools that …

The proliferation of deepfakes, utilizing sophisticated machine learning algorithms to create
falsified media content, is a growing concern for society. This study aims to delve deeper into …