Recent advancements in deep learning generative models have raised concerns as they
can create highly convincing counterfeit images and videos. This poses a threat to people's …

Synthetic realities are digital creations or augmentations that are contextually generated
through the use of Artificial Intelligence (AI) methods, leveraging extensive amounts of data …

State-of-the-art deep neural networks are still struggling to address the catastrophic
forgetting problem in continual learning. In this paper, we propose one simple paradigm …

One of the most pressing challenges for the detection of face-manipulated videos is
generalising to forgery methods not seen during training while remaining effective under …

With the rapid development of Deepfake synthesis technology, our information security and
personal privacy have been severely threatened in recent years. To achieve a robust …

Intra-frame inconsistency has been proved to be effective for the generalization of face
forgery detection. However, learning to focus on these inconsistency requires extra pixel …

The growing threats of deepfakes to society and cybersecurity have raised enormous public
concerns, and increasing efforts have been devoted to this critical topic of deepfake video …

Face manipulation technology is advancing very rapidly, and new methods are being
proposed day by day. The aim of this work is to propose a deepfake detector that can cope …

Advances in facial manipulation technology have led to increasing indistinguishable and
realistic face swap videos, which raises growing concerns about the security risk of …

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 …