├── DeepfakeDetection#Main project directory├── __pycache__#Compiled Python bytecode files│ ├── __init__.cpython-310.pyc ├── api#Package containing API-related code│ ├── __pycache__ │ │ ├── __init__.cpython-310.pyc │ │ └── fast.cpython-310.pyc │ ├─...
[IJCV 2025] Code for DeepFake-Adapter: Dual-Level Adapter for DeepFake Detection - rshaojimmy/DeepFake-Adapter
This research exploits the effectiveness of deepfake detection algorithms with the application of a Particle Swarm Optimization (PSO) variant for hyperparameter selection. Since Convolutional Neural Networks excel in recognizing objects and patterns in visual data while Recurrent Neural Networks are ...
The proposed defense mechanism is general, ensuring compatibility across a variety of deepfake audio detection models. Moreover, the proposed defense mechanism is characterized by its low-cost implementation, achieving two results: i. it alleviates the tool on resources typically linked to the ...
CoDeiT-XL has achieved 86.9% accuracy and 0.95 AUC on DFDC, and 78.5% accuracy and 0.89 AUC on the challenging CelebDF dataset when trained onthe FaceForensic++ dataset. It outperformed all state-of-the-art deepfake detection methods. CoDeiT is effective for deepfake detection due to its ...
现在我们分享深度造假检测挑战(Deepfake Detection Challenge)的结果,这是一个开放的、合作的倡议,用于激发创新的新技术的创造来检测深度造假和操控媒体。 该比赛吸引了 2000 多名参与者,他们使用的是为挑战创建的独特的新数据集训练并测试他们的模型。 在黑箱数据集的测试中,顶级模型的平均精度达到了 65.18%,其中包含...
Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Unexpected end of JSON input SyntaxError: Unexpected end of JSON input
If you're using a deepfake app, the entire deepfake process, including face detection, training, and swapping, is done automatically. These apps are perfect for quick, easy deepfakes. On the other hand, advanced tools like DeepFaceLab give you more control but require more time and technical...
In addition to Deepfakes, a variety of GAN-based face swapping methods have also been published with accompanying code. To counter this emerging threat, we have constructed an extremely large face swap video dataset to enable the training of detection models, and organized the accompanying DeepFake...
WildDeepfake is a dataset for real-world deepfakes detection which consists of 7,314 face sequences extracted from 707 deepfake videos that are collected completely from the internet. WildDeepfake is a small dataset that can be used, in addition to exist