Deepfake technology has advanced a lot, but it is a double-sided sword for the community.
One can use it for beneficial purposes, such as restoring vintage content in old movies, or for …

With the rapid growth in deepfake video content we require improved and generalizable
methods to detect them. Most existing detection methods either use uni-modal cues or rely …

Recent years have seen a revolution in the creation of synthetic multimedia content.
Algorithms with the ability to generate truly convincing images, videos, text and audio …

Multimodal manipulations (also known as audio-visual deepfakes) make it difficult for
unimodal deepfake detectors to detect forgeries in multimedia content. To avoid the spread …

Deepfakes, hyper-realistic synthetic media created using artificial intelligence, pose a
growing threat to trust in information and online interactions, serious challenge to the …

In recent years, DeepFake technology has achieved unprecedented success in high-quality
video synthesis, whereas these methods also pose potential and severe security threats to …

The rapid advancement of deepfake technology poses a significant threat to digital media
integrity. Deepfakes, synthetic media created using AI, can convincingly alter videos and …