Remarkable advances have been made in deep learning, leading to the emergence of
highly realistic AI-generated videos known as deepfakes. Deepfakes use generative models …

Deepfake is a technology dedicated to creating highly realistic facial images and videos
under specific conditions, which has significant application potential in fields such as …

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

The detection and localization of highly realistic deepfake audio-visual content are
challenging even for the most advanced state-of-the-art methods. While most of the research …

We propose a new comprehensive benchmark to revolutionize the current deepfake
detection field to the next generation. Predominantly, existing works identify top-notch …

Misinformation is often conveyed in multiple modalities, eg a miscaptioned image.
Multimodal misinformation is perceived as more credible by humans, and spreads faster …

Deepfake techniques generate highly realistic data making it challenging for humans to
discern between actual and artificially generated images. Recent advancements in deep …

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

The detection and localization of deepfake content, particularly when small fake segments
are seamlessly mixed with real videos, remains a significant challenge in the field of digital …

Face Recognition (FR) systems can be easily deceived by adversarial examples that
manipulate benign face images through imperceptible perturbations. Adversarial attacks on …