Through comprehensive testing on the CIFAKE dataset, our findings indicated that the MobileNet model outperformed both VGG16 and InceptionV4 in accurately identifying fake images, achieving an impressive accuracy of 90.10%. This study delves into the effectiveness of pre-trained CNN models, with a ...
Fake image detection using CNN The last decade has witnessed a multifold growth of image data courtesy of the emergence of social networking services like Facebook, Instagram, LinkedIn e... JR Kumar,TD Nagendra,M Harshitha,... - 《Proceedings of International Conference on Frontier of Digital Te...
The social media platforms leads to proliferation of fake news and spreading of these false information creates high negative impact on the society. To ove
deep-learning cnn pytorch celeba-dataset lsun-dataset xception fake-image-detection stylegan2 progan patch-wise-training ffhq-dataset Updated Feb 18, 2022 Python Torak28 / Image-manipulation-detection Star 2 Code Issues Pull requests Fake Image Detection Using Machine Learning machine-learning d...
Fake Image Detection. To try MobileNetV2 model. AI image generator & Fake image detector. To try AI-image generator and ResNet Fake image detector Pull requests are welcome! If you would like to contribute to this project, please fork the repository and create a new branch for your changes...
The similarity measurement module can directly measure the similarity of multimodal data for the problem of mismatching of image and text. We assess the constructed method in terms of four datasets commonly used for fake news detection. The accuracy of the detection is improved clearly compared to ...
Workflow for detection of fake-video uploaders. Full size image In the modeling process in this work, the detection of fake-video uploaders was converted into a supervised classification problem, and the model simulated the differences between video uploaders. In the model, it was assumed that ...
KDD20年发表的文章“Similarity-Aware Multi-modal Fake News Detection[J]. Advances in Knowledge Discovery and Data Mining“是检测新闻图文相符性的代表工作。该工作利用image2text模型将视觉信息转化为文本信息,并通过全连接层将文本信息和视觉信息映射到同一向量空间中,之后对比视觉信息和文本信息之间的相似度。如果...
Fake review detection using machine learning and deep learning techniques such as CNNs, SOMs, K-means clustering, various supervised models and natural language processing tools such as Word2Vec & TFIDF, GloVe etc. machine-learningnatural-language-processingdeep-learningtext-classificationword-embeddings...
Fake news detection is an important, yet very challenging topic. Traditional methods using lexical features have only very limited success. In this paper, we propose a method to gauge the authenticity of such information using only a few attributes of news with a simple user interface. Along ...