2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
X2-DFD: A framework for eXplainable and eXtendable Deepfake Detection
Yize Chen, Zhiyuan Yan, Guangliang Cheng +3
This paper proposes X2-DFD, an eXplainable and eXtendable framework based on multimodal large-language models (MLLMs) for deepfake detection, consisting of three key stages. The fi…
cs.AI2024★ 2 cited
Can ChatGPT Detect DeepFakes? A Study of Using Multimodal Large Language Models for Media Forensics
Shan Jia, Reilin Lyu, Kangran Zhao +7
DeepFakes, which refer to AI-generated media content, have become an increasing concern due to their use as a means for disinformation. Detecting DeepFakes is currently solved with…
cs.CV2023★ 1 cited
Transcending Forgery Specificity with Latent Space Augmentation for Generalizable Deepfake Detection
Zhiyuan Yan, Yuhao Luo, Siwei Lyu +2
Deepfake detection faces a critical generalization hurdle, with performance deteriorating when there is a mismatch between the distributions of training and testing data. A broadly…