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Found 9 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.
Adversarially robust deepfake media detection using fused convolutional neural network predictions
The proposed technique outperforms state-of-the-art models with 96. 5% accuracy, when tested on publicly available DeepFake Detection Challenge (DFDC) test data, comprising of 400 videos.
Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Various techniques have been proposed to identify the phishing attacks specifically, deployment of machine intelligence in recent years.
Analysing the impact of global demographic characteristics over the COVID-19 spread using class rule mining and pattern matching
Since the coronavirus disease (COVID-19) outbreak in December 2019, studies have been addressing diverse aspects in relation to COVID-19 and Variant of Concern 202012/01 (VOC 202012/01) such as potential symptoms and predictive tools.
