The popularity of social networks as primary mediums for sharing visual content has made it
crucial for forensic experts to identify the original platform of multimedia content. Various …

The extensive spread of fake news on social networks is carried out by a diverse range of
users, encompassing private individuals, newspapers, and organizations. With widely …

With the ever-growing adoption of AI, its impact on the environment is no longer negligible.
Despite the potential that continual learning could have towards Green AI, its environmental …

Linking a digital image or video to its originating device, or checking the content integrity still
represent challenging forensic tasks. Even though several technologies based on metadata …

The development of generative AI techniques such as Generative Adversarial Networks and
Diffusion Models has made it accessible to create images, often extremely realistic, that do …

Detecting the origin of a digital video within a social network is a critical task that aids law
enforcement and intelligence agencies in identifying the creators of misleading visual …

Over the past decade, the proliferation of social networks introduced new challenges in the
multimedia forensic field, such as the identification of the originating platform. Significant …

Deep Neural Networks (DNNs) are fundamental to Artificial Intelligence (AI) applications,
demonstrating remarkable performance across a diverse range of tasks in industries such as …