image-forgery-detection topic
Image-Forgery-Detection-CNN
Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
image_forgery_detection_papers
A collection of deep learning approaches and datasets publicly available for image forgery and deepfakes detection
CAT-Net
Official code for CAT-Net: Compression Artifact Tracing Network. Image manipulation detection and localization.
IFAKE
IFAKE is an application for detecting image and video forgery, designed to help users verify the authenticity of digital media. This repository also contains the AI model and dataset that we developed...
Benford-Analysis-For-Fraud-Detection
Benford law helps in detecting the irregularity in a set of numbers. It can be used to detect fraud in image forensics(detecting whether the image is real or fake) or it can also be used to analyze in...
Papers
Image Forgery Detection and Localization (and related) Papers List
Image-Forgery-Detection-using-Deep-learning
Image Forgery Detection using Deep learning Graduation project
Image_Manipulation_Detection_System_Python
This system is Used detect and highlight the image (Forgery) malpractices performed on modern-day digital images.
Image_Forgery_Detection
Reproduced Code for Image Forgery Detection papers.