35 citations · 82 across the 12 of their papers we have counts for
8 papers · 1 filter
AdaptPrompt: Parameter-Efficient Adaptation of VLMs for Generalizable Deepfake Detection
Yichen Jiang, Mohammed Talha Alam, Sohail Ahmed Khan +2
Detectors of AI-generated images tend to inherit the biases of the data they are trained on: models fitted to GAN imagery learn to treat GAN-specific artifacts as the very definiti…
CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection
Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
The recent advancements in Generative Adversarial Networks (GANs) and the emergence of Diffusion models have significantly streamlined the production of highly realistic and widely…
Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method
Eivind Moholdt, Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
The growth of misinformation and re-contextualized media in social media and news leads to an increasing need for fact-checking methods. Concurrently, the advancement in generative…
Deepfake Detection: A Comparative Analysis
Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
This paper present a comprehensive comparative analysis of supervised and self-supervised models for deepfake detection. We evaluate eight supervised deep learning architectures an…
Grand Challenge On Detecting Cheapfakes
Duc-Tien Dang-Nguyen, Sohail Ahmed Khan, Cise Midoglu +3
Cheapfake is a recently coined term that encompasses non-AI ("cheap") manipulations of multimedia content. Cheapfakes are known to be more prevalent than deepfakes. Cheapfake media…
Hybrid Transformer Network for Deepfake Detection
Sohail Ahmed Khan, Duc-Tien Dang-Nguyen
Deepfake media is becoming widespread nowadays because of the easily available tools and mobile apps which can generate realistic looking deepfake videos/images without requiring a…
Video Transformer for Deepfake Detection with Incremental Learning
Sohail A. Khan, Hang Dai
Face forgery by deepfake is widely spread over the internet and this raises severe societal concerns. In this paper, we propose a novel video transformer with incremental learning…
Adversarially robust deepfake media detection using fused convolutional neural network predictions
Sohail Ahmed Khan, Alessandro Artusi, Hang Dai
Deepfakes are synthetically generated images, videos or audios, which fraudsters use to manipulate legitimate information. Current deepfake detection systems struggle against unsee…