Deepfakes present an emerging threat in cyberspace. Recent developments in machine
learning make deepfakes highly believable, and very difficult to differentiate between what is …

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

Advancements in facial manipulation technology have resulted in highly realistic and
indistinguishable face and expression swap videos. However, this has also raised concerns …

As a creative method for virtual human individuals based on multiple fusion technologies
such as artificial intelligence, computer graphics, and speech synthesis, virtual human …

Due to the recent progress in Deepfake generation, several datasets and manipulation
techniques have been proposed in the recent literature with various effective face-swap and …

Social media apps such as WhatsApp, Messenger, Telegram and Viber are primary
communication channels for most people today. Even within these Mainstream Social Media …

Text-to-image (T2I) diffusion models are popular for introducing image manipulation
methods, such as editing, image fusion, inpainting, etc. At the same time, image-to-video …

The unprecedented development of deep learning approaches for video processing has
caused growing privacy concerns. To ensure data analysis while maintaining privacy, it is …

Due to the successful development of deep image generation technology, visual data
forgery detection would play a more important role in social and economic security. Existing …

Human factors research in transportation relies on naturalistic driving studies (NDS) which
collect real-world data from drivers on actual roads. NDS data offer valuable insights into …