DeepFake Detection for Face images
-
Updated
Mar 1, 2024 - Jupyter Notebook
DeepFake Detection for Face images
This repository performs audio cloning, text extraction, and NLP tasks using LLMs, ML, and AI models.
UNI subject on biometric systems with exercises and final project
an open-source framework for detecting audio generated from generative systems
208-Vietnamese-2D-Living-Face-Anti-Spoofing-Data
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.
Here is the Asvspoof19 Laundered Dataset an deepfake audio website for downloading the data and preview the sample data
Detection & classification of deepfake
A Comparative study on the performance of multiple transfer learning model in deepfake detection
Code, model and data for our paper: K. Tsigos, E. Apostolidis, S. Baxevanakis, S. Papadopoulos, V. Mezaris, "Towards Quantitative Evaluation of Explainable AI Methods for Deepfake Detection", Proc. ACM Int. Workshop on Multimedia AI against Disinformation (MAD’24) at the ACM Int. Conf. on Multimedia Retrieval (ICMR’24), Thailand, June 2024.
CyberSight is our final project at Bar-Ilan University. The primary objective of the project is to identify whether a given picture of a human face is generated by artificial intelligence or depicts a real person.
A Full-Stack Deepfake Detection App, developed using TensorFlow, FastAPI and React.js
My solution for the Deepfake Detection Challenge
NeuroMelNet - End-to-End binary classification model for AI speech detection with PyTorch implementation. Python API & Tg-bot API
'Robust Deepfake Detection' project for the Deep Learning course at ETH Zurich, 2021. Authors (alphabetic): David Kamm, Nicolas Muntwyler, Alexander Timans, Moritz Vandenhirtz.
Code for paper STIL: Spatiotemporal Inconsistency Learning for DeepFake Video Detection
Deepfake Detection on FakeAVCeleb
Detecting Deepfake Human Face Images Using Transfer Learning: A Comparative Study
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."