A repo for the Deepfake Detection Challenge on Kaggle
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Updated
Feb 13, 2020 - Python
A repo for the Deepfake Detection Challenge on Kaggle
🔥🔥Defending Against Deepfakes Using Adversarial Attacks on Conditional Image Translation Networks
This repo is an usage example of OpenFace model. We focus on fake detection in videos. The videos are processed and predicted as real or fake based on the person captured.
Towards deepfake detection that actually works
Codes for my homework project DeepFake Detection.
End to end training pipeline for deepfake detection from the DFDC challenge dataset
DeepFake Detector (DFD) is a CLI program used to test how well one of the supported DeepFake detection methods differentiates DeepFake's from images altered by common image modification methods such as gamma correction. This tool was used in my bachelor thesis "Testing robustness of DeepFake recognition methods against non-malicious image modifi…
(2021) Robust Deepfake Detection project for the Deep Learning course at ETH. Authors: David Kamm, Nicolas Muntwyler, Alexander Timans, Moritz Vandenhirtz
DeepFake detection using DeepLearning
A Deepfake detector based on hybrid EfficientNet CNN and Vision Transformer archietcture. The model is explainable by rendering a heatmap visualization of the Transformer Relevancy / Attention map.
Unofficial Implementation: Learning Self-Consistency for Deepfake Detection
Official code for Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection (CVPR 2022 oral)
Learning a Deep Dual-level Network for Robust DeepFake Detection
BMSTU Bachelor's Graduate Qualification Work
Devised an algorithm that can detect Deep Fakes to maintain quality of public discourse and safeguard human rights.
Official implementation of the FST-Matching Model.
Block shuffling learning for Deepfake Detection
Code for the paper Cross Forgery Analysis of Vision Transformers and CNNs for Deepfake Image Detection
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