Deep learning is utilized as a deepfakedetection and creation method. Deepfake produces fake videos and images, which are difficult to distinguish between authentic images or videos. A free software learning platform has allowed the development of credible faceswaps in videos in recent months, which...
auto-encoder-based forgery detection tool for mammogram images computer-visiondeep-learningmammogramforgery-detectiondeep-fakes UpdatedJun 18, 2022 Python siddh30/Facial-Keypoints-Detection Star6 Code Issues Pull requests A Deep Learning project to detect and predict Facial Key-Points. We built this ...
总的来说，深度伪造检测技术不断进化，结合多模态、个体特征、数据增强和预训练策略，以提高检测的准确性和鲁棒性，为应对日益复杂的伪造手段提供了有力支持。
Customized Convolutional Neural Network for Accurate Detection of Deep Fake Images in Video Collections The motivation for this study is that the quality of deep fakes is constantly improving,which leads to the need to develop new methods for their detection... D Gura,B Dong,D Mehiar,... -...
• As proof of this, the application can work in airplane mode without using the internet. Features and benefits: • Accurate deepfake detection: Thanks to sophisticated algorithms, DeepDetekt precisely identifies fake content. • Ease of use: A simple and intuitive interface allows quick analy...
A hybrid approach to fake news detection on social media 1. The main aim of this paper is to propose a hybrid approach to fake news detection on social media. 2. Fake news detection is a highly relevant problem with great impacts. 3. Both human and machine solutions have been proposed an...
The Deepfake Detection Challenge will offer grants and awards to spur the industry to create new ways of detecting deep fakes. Comedy Eddie Murphy Deep Fake Does Spot-On Impression Of Outraged Bill Cosby Deep Fake|Tech No one does Bill Cosby better than Eddie Murphy, but deep fake tech makes...
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, ...
CNN-LSTMFake ReviewThe reality of online user reviews, which are quite effective in the purchasing behavior of consumers, has become a problem today. The identification of positivTaaal, KenanUçar, ÖzlemSocial Science Electronic Publishing
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 ...