An implementation of a deepfake detection model that uses gradient regularization to improve robustness against adversarial attacks. This approach perturbs the mean and standard deviation of shallow layers in an EfficientNetB0 backbone to enhance generalization and defend against attacks like FGSM and PGD.
A deep learning-powered system for detecting deepfake videos using a ResNeXt + LSTM hybrid model with a Django web interface for real-time predictions.
🛡️ AI-powered securities market fraud detection platform for India. Real-time deepfake detection, SEBI advisor verification, social media monitoring. Built with Next.js, Node.js, Python AI. Enterprise-ready with 95%+ accuracy fraud detection.
Deepfake Video Detection Project and simulation app
Watermarking System | AI-Generated Media Detection A system for detecting and flagging AI-generated images using ML and steganography. Ensures authenticity with imperceptible, resilient watermarks embedded at creation.
Imagine Hashing embeds cryptographic hashes into images using steganography and SHA256 to ensure authenticity, integrity, and resilience against tampering or manipulation.
Deepfake Video Detection Using CNN-Based Deep Learning
Implementation of SSL ViT to Detect DeepFakes, pretrained on CelebA, finetuned on DFDC's train split.
This is the repo for Hackanova Hackathon '25
AI-powered OSINT platform for image authenticity verification, metadata extraction, and deepfake detection.
Deepfake identification using machine learning techniques to detect synthetic images
Preprocessed face-only videos with the face_recognition library and implemented a deepfake detection model using the Resnext-50 architecture. Achieved accurate identification of manipulated videos through advanced computer vision techniques.
Deepfake Detection Using Deep Learning
AI-powered deepfake detection using audio-video feature fusion and blockchain verification.
Midterm Assessment for Introduction to Artificial Intelligence Course.
A repo for the Deepfake Detection Challenge on Kaggle
My submission for Srijan 22 Vol.12 , the annual departmental magazine of Department of Computer Science, University of Delhi.
Add a description, image, and links to the deepfake-detection topic page so that developers can more easily learn about it.
To associate your repository with the deepfake-detection topic, visit your repo's landing page and select "manage topics."