Currently, most applications in the Industrial Internet of Things (IIoT) still rely on CNN-based
neural networks. Although Transformer-based large models (LMs), including language …

The detection of deepfakes is crucial for mitigating the societal impact of falsified video
content. Despite the development of various algorithms for this purpose challenges arise for …

In the wake of a fabricated explosion image at the Pentagon, an ability to discern real
images from fake counterparts has never been more critical. Our study introduces a novel …

The fabrication of visual misinformation on the web and social media has increased
exponentially with the advent of foundational text-to-image diffusion models. Namely, Stable …

Deepfake detection faces increasing challenges since the fast growth of generative models
in developing massive and diverse Deepfake technologies. Recent advances rely on …

Protecting digital identities of human face from various attack vectors is paramount, and face
anti-spoofing plays a crucial role in this endeavor. Current approaches primarily focus on …

Deepfake detection is critical in mitigating the societal threats posed by manipulated videos.
While various algorithms have been developed for this purpose, challenges arise when …

in today's digital age, deepfake images poses a significant threat to multimedia content
authenticity and integrity. Detecting and classifying deepfake images with high accuracy is …

Deepfakes, media manipulated using deep learning techniques, pose a growing threat to
the integrity of digital content. These AI-generated forgeries are becoming increasingly …