DeeCLIP

DeeCLIP: A Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images ☀️ If you find this work useful for your research, please kindly star our repo and cite our paper! ☀️ TODO We are working hard on the following items: Release ArXiv paper Release training scripts...

osintnet-public

OsintNET is a browser-based OSINT platform for domain intelligence, website risk scanning, SERP discovery, email and username OSINT, image intelligence, image authenticity checks and AI image detection. Website · OSINT Tools · Best OSINT Tools · AI OSINT Tools · llms.txt · AI Prompt Map OsintNET ...

DeepFake Forensics AI: A Multi-Modal Detection and Blockchain-Anchored Evidence Management Platform

The proliferation of AI-generated synthetic media poses a critical threat to the integrity of digital evidence in legal and forensic contexts. Existing deepfake detection systems typically address a single modality and provide no mechanism for tamper-proof evidence preservation. We present DeepFa...

FragFake: a Dataset for Fine-Grained Detection of Edited Images with Vision Language Models

Fine-grained edited image detection of localized edits in images is crucial for assessing content authenticity, especially given that modern diffusion models and image editing methods can produce highly realistic manipulations. However, this domain faces three challenges: 1 Binary classifiers yie...

DeeCLIP: a Robust and Generalizable Transformer-Based Framework for Detecting AI-Generated Images

This paper introduces DeeCLIP, a novel framework for detecting AI-generated images using CLIP-ViT and fusion learning. Despite significant advancements in generative models capable of creating highly photorealistic images, existing detection methods often struggle to generalize across different...

Apple: Image-Detection Backdoor ‘Narrow’ in Scope

Apple provided additional design and security details this week about the planned rollout of a feature aimed at detecting child sexual abuse material CSAM images stored in iCloud Photos. Privacy groups like the Electronic Frontier Foundation warned that the process of flagging CSAM images...