Picture for Sohail Ahmed Khan

Sohail Ahmed Khan

CLIPping the Deception: Adapting Vision-Language Models for Universal Deepfake Detection

Add code
Feb 20, 2024
Viaarxiv icon

Online Multimedia Verification with Computational Tools and OSINT: Russia-Ukraine Conflict Case Studies

Add code
Oct 03, 2023
Viaarxiv icon

Detecting Out-of-Context Image-Caption Pairs in News: A Counter-Intuitive Method

Add code
Aug 31, 2023
Viaarxiv icon

Deepfake Detection: A Comparative Analysis

Add code
Aug 07, 2023
Viaarxiv icon

Grand Challenge On Detecting Cheapfakes

Add code
Apr 03, 2023
Viaarxiv icon

Hybrid Transformer Network for Deepfake Detection

Add code
Aug 11, 2022
Figure 1 for Hybrid Transformer Network for Deepfake Detection
Figure 2 for Hybrid Transformer Network for Deepfake Detection
Figure 3 for Hybrid Transformer Network for Deepfake Detection
Figure 4 for Hybrid Transformer Network for Deepfake Detection
Viaarxiv icon

Adversarially robust deepfake media detection using fused convolutional neural network predictions

Add code
Feb 11, 2021
Figure 1 for Adversarially robust deepfake media detection using fused convolutional neural network predictions
Figure 2 for Adversarially robust deepfake media detection using fused convolutional neural network predictions
Figure 3 for Adversarially robust deepfake media detection using fused convolutional neural network predictions
Figure 4 for Adversarially robust deepfake media detection using fused convolutional neural network predictions
Viaarxiv icon

Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)

Add code
Jan 06, 2021
Figure 1 for Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Figure 2 for Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Figure 3 for Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Figure 4 for Phishing Attacks and Websites Classification Using Machine Learning and Multiple Datasets (A Comparative Analysis)
Viaarxiv icon

Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching

Add code
Oct 09, 2020
Figure 1 for Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching
Figure 2 for Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching
Figure 3 for Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching
Figure 4 for Association Learning Between the COVID-19 Infections and Global Demographic Characteristics Using the Class Rule Mining and Pattern Matching
Viaarxiv icon