1. Introduction to Generative AI and Deepfake Technology 2. Deepfake Detection Principles and Challenges 3. Ethical Considerations with the Use of Deepfakes 4. Setting Up yourMachinefor Deepfake Detection using Python 5. Deepfake Datasets 6. Techniques for Deepfake Detection 7. Detection of Deepfake ...
generate'fake data'or'fake images'.This study was carried out using Python and its libraries.We used 242 films from the dataset gathered by the Deep Fake Detection Challenge,of which 199 were made up and the remaining 53 were real.Ten seconds were allotted for each video.There were 318 ...
Besides using transfer learning for video forgery detection, motivated by [2,55,56,57], a hybrid CNN-RNN architecture is proposed in this research for distinguishing fake from real videos. Specifically, this hybrid model uses EfficientNet serialized with a GRU layer for spatial–temporal feature ex...
Python dessa-oss/fake-voice-detection Star371 Using temporal convolution to detect Audio Deepfakes machine-learningdeep-learningfake-newsdeep-learning-tutorialmachine-learning-tutorialsdeep-fakes UpdatedNov 21, 2022 Python albertoxamin/telegram-deep-fakes-bot ...
ResN et-50 has been used in deepfake detection by training the network on a large dataset of real and fake videos In this paper, Resnet50 and LSTM [13] are combined to make a hybrid architecture are used in deep fake video detection as a web framework using python. Combining ResNet50...
(2024) [49] used ResNet-Swish-BiLSTM to classify consecutive video frames as real or fake. Previous works have shown that using multiple modalities and feature fusion instead of a single type of input can improve the performance of Deepfake detection. This allows the model to construct a ...
Use KerasCV, Python, Tensorflow, PyTorch, & JAX for Image Recognition, Object Detection, and Stable Diffusion All levels 42 Lectures 6h48m $29.99 $199.99 85% OFF! 4.8 Generative AI Data Science: Transformers for Natural Language Processing ChatGPT, GPT-4, BERT, Deep Learning, Machine Learni...
Fake news detection using deep learning Final master thesis projectThis repository is focused on finding fake news using deep learningThere are multiple methods focused on achieving this goal, but the objective of this work is discriminating the fake ones by only looking at the text. No graphs, ...
Protecting World Leaders Against Deep Fakes(CVPR 2020) paper PDF 文章目录 Introduction Innovation Method Experiment Introduction 深度学习的应用促使了人脸伪造技术的巨大进步。现有AI-合成的人脸伪造方式可以分为以下三种: face swap:将视频中出现的人脸替换为其他人的脸,一... ...
Through the Cvlib libray, detection and cropping of the face region within the images. Resizing of the cropped images to avoid feature bias (resize size based on the size distribution of our dataset). Feature extraction Textures based on the gradient domain: in the gray-scale domain, the imag...