Abstract: Digital image manipulation is a growing threat to authenticity in journalism, forensics and security. Traditional forgery detection methods can't keep up with advanced image tampering ...

A research collaboration between PXL Vision, the Idiap Research Institute and Swiss innovation agency Innosuisse has led to the identity verification provider launching a new deepfake detector to spot ...

Python faces new challenges from old rivals, but is it a blip or something more? In other news, we have goodies like easy-install instances of PostgreSQL, a peek at the state of the art in visual ...

MINOT — Attorney General Drew Wrigley's office has notified the F5 Project that the nonprofit may have been raising funds illegally due to an expired registration with the state. A Jan. 6, 2026, ...

Abstract: Image forgery refers to the act of altering or modifying digital images in a way that deceives viewers about the authenticity of the content. Typically, the purpose of picture forgery is to ...

Image Forgery Detection Using JPEG compression and Convolutional Neural Network (CNN). This project aims to detect image forgery using JPEG compression and Convolutional Neural Network (CNN). The ...

It’s rare that your esoteric, impossible-to-pronounce, decade-long research project becomes a technology so crucial to national security that the President of the United States calls it out from the ...

Red Hat has launched a preview of Project Hummingbird, a catalog of minimal, hardened container images to help address the need for "zero-CVE" applications. Available as an early access program for ...

Image Forgery Detection is a web-based application designed to detect and analyze potential image manipulations and forgeries. Developed in Python using the Django framework, it provides an easy and ...