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A review of deep learning‐based approaches for deepfake content detection
Recent advancements in deep learning generative models have raised concerns as they
can create highly convincing counterfeit images and videos. This poses a threat to people's …
can create highly convincing counterfeit images and videos. This poses a threat to people's …
[HTML][HTML] Deep fake detection and classification using error-level analysis and deep learning
Due to the wide availability of easy-to-access content on social media, along with the
advanced tools and inexpensive computing infrastructure, has made it very easy for people …
advanced tools and inexpensive computing infrastructure, has made it very easy for people …
Revealing and classification of deepfakes video's images using a customize convolution neural network model
Deepfake has been exploited in recent years despite its widespread usage in a variety of
areas to create dangerous material such as fake movies, rumors, and false news by …
areas to create dangerous material such as fake movies, rumors, and false news by …
Advances in DeepFake detection algorithms: Exploring fusion techniques in single and multi-modal approach
In recent years, generative artificial intelligence has gained momentum and created
extremely realistic synthetic multimedia content that can spread misinformation and mislead …
extremely realistic synthetic multimedia content that can spread misinformation and mislead …
MedNet: Medical deepfakes detection using an improved deep learning approach
Recently, the massive development in the field of deep learning (DL) and artificial
intelligence (AI)-aware tools have forced the requirement of caution when using several …
intelligence (AI)-aware tools have forced the requirement of caution when using several …
Deep fake detection using an optimal deep learning model with multi head attention-based feature extraction scheme
Face forgery, or deep fake, is a frequently used method to produce fake face images,
network pornography, blackmail, and other illegal activities. Researchers developed several …
network pornography, blackmail, and other illegal activities. Researchers developed several …
Using deep learning to detecting deepfakes
In the recent years, social media has grown to become a major source of information for
many online users. This has given rise to the spread of misinformation through deepfakes …
many online users. This has given rise to the spread of misinformation through deepfakes …
[PDF][PDF] Customized convolutional neural network for accurate detection of deep fake images in video collections
D Gura, B Dong, D Mehiar… - Computers, Materials & …, 2024 - researchgate.net
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. The proposed Customized …
leads to the need to develop new methods for their detection. The proposed Customized …
AI-CenterNet CXR: An artificial intelligence (AI) enabled system for localization and classification of chest X-ray disease
Machine learning techniques have lately attracted a lot of attention for their potential to
execute expert-level clinical tasks, notably in the area of medical image analysis. Chest …
execute expert-level clinical tasks, notably in the area of medical image analysis. Chest …
Detection of deep fake in face images based machine learning
MSM Altaei - Al-Salam Journal for Engineering and …, 2023 - journal.alsalam.edu.iq
Fake face images is a recent critical issue of artificial intelligent due to it has directly impacts
on the social lives, and may be made to imply threats against privacy, fraud, and other …
on the social lives, and may be made to imply threats against privacy, fraud, and other …