Text-to-image diffusion models (DM) have posed unprecedented challenges to the
authenticity and integrity of digital images, which makes the detection of computer …

In this paper, we propose a discrepancy-aware meta-learning approach for zero-shot face
manipulation detection, which aims to learn a discriminative model maximizing the …

Face manipulation detection has become a recent research hotpot, and many detection
methods have been proposed. Most existing detection methods treat face manipulation …

The use of deep learning technology to manipulate images and videos of people in ways
that are difficult to distinguish from the real ones, known as deepfake, has become a matter …

DeepFake technology poses a new challenge to the validation of digital media integrity and
authenticity. In contrast to 'traditional'forensic sub-disciplines (eg, dactyloscopy), there are no …

Objective: As GAN-based deepfakes have become increasingly mature and realistic, the
demand for effective deepfake detectors has become essential. We are inspired by the fact …

Detection of facial forgery in images and videos is a complex and challenging task. For the
last years, different methods have been employed to detect facial forgeries. However, facial …

Deep learning technologies have improved the performance of biometric systems as well as
increased the risk of spoofing attacks against them. So far, lots of spoofing and anti-spoofing …

Blockchain is a decentralized distributed ledger, through a unique chain block structure to
verify and store data, so as to ensure the privacy and security of all kinds of information, but …

Deepfake technology, especially deep voice, which has been derived from artificial
intelligence in recent years, is potentially harmful, and the public is not yet wary. However …