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Found 6 papers, 3 papers with code
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
The recent advancements in Generative Adversarial Networks (GANs) and the emergence of Diffusion models have significantly streamlined the production of highly realistic and widely accessible synthetic content.
Online Multimedia Verification with Computational Tools and OSINT: Russia-Ukraine Conflict Case Studies
This paper investigates the use of computational tools and Open-Source Intelligence (OSINT) techniques for verifying online multimedia content, with a specific focus on real-world cases from the Russia-Ukraine conflict.
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
The growth of misinformation and re-contextualized media in social media and news leads to an increasing need for fact-checking methods.
Deepfake Detection: A Comparative Analysis
This paper present a comprehensive comparative analysis of supervised and self-supervised models for deepfake detection.
Grand Challenge On Detecting Cheapfakes
OOC media is much harder to detect than fake media, since the images and videos are not tampered.
Hybrid Transformer Network for Deepfake Detection
We train both feature extractors along with the transformer in an end-to-end manner on FaceForensics++, DFDC benchmarks.
