Towards More General Video-based Deepfake Detection through Facial Feature Guided Adaptation for Foundation Model

arXiv:2404.05583v1 Announce Type: new
Abstract: With the rise of deep learning, generative models have enabled the creation of highly realistic synthetic images, presenting challenges due to their potential misuse. While research in Deepfake detection has grown rapidly in response, many detection methods struggle with unseen Deepfakes generated by new synthesis techniques. To address this generalisation challenge, we propose a novel Deepfake detection approach by adapting rich information encoded inside the Foundation Models with rich information encoded inside, specifically using the …

abstract arxiv challenges cs.cv deepfake deepfakes deep learning detection detection methods feature foundation foundation model general generative generative models images misuse presenting research struggle synthetic through type video