The free access to large-scale public databases, together with the fast progress of deep
learning techniques, in particular Generative Adversarial Networks, have led to the …

The introduction of publicly available large-scale datasets and advances in generative
adversarial networks (GANs) have revolutionized the generation of hyper-realistic facial …

Face morphing attacks target to circumvent Face Recognition Systems (FRS) by employing
face images derived from multiple data subjects (eg, accomplices and malicious actors) …

Advances in Artificial Intelligence and Image Processing are changing the way people
interacts with digital images and video. Widespread mobile apps like FACEAPP make use of …

To properly contrast the Deepfake phenomenon the need to design new Deepfake detection
algorithms arises; the misuse of this formidable AI technology brings serious consequences …

The ever-growing threat of deepfakes and large-scale societal implications has propelled
the development of deepfake forensics to ascertain the trustworthiness of digital media. A …

Social media holds the power to influence a significant change in the population. Through
social media, people all around the world can connect and share their views. However, this …

Recent advances in Generative Adversarial Networks (GANs) have led to the creation of
realistic-looking digital images that pose a major challenge to their detection by humans or …

Deepfake refers to tailored and synthetically generated videos which are now prevalent and
spreading on a large scale, threatening the trustworthiness of the information available …

In recent years there have been astonishing advances in AI-based synthetic media
generation. Thanks to deep learning methods it is now possible to generate visual data with …