AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
TL;DR
A novel DeepFake detection technique that utilizes lightweight CNN architectures, such as MesoNet and MobileNet, coupled with an LSTM, and is subsequently fine-tuned to detect deepfakes, demonstrating notable efficiency in deepfake detection.
A novel multimodal approach to deepfake detection, integrating spatial, temporal, and audio features, which is highly efficient in addressing deepfake challenges in the digital forensic field and tested on various benchmarking datasets, yielding higher accuracy than current methods.
The creation of deep fake videos using artificial intelligence (AI) has emerged as a major challenge to the authenticity and integrity of online media. Advances in technology for manipulating faces have made it difficult to determine when a video has been manipulated and allowed for misinformation, privacy violations,...
This study uses ResNet-50 architecture, a well-known Convolutional Neural Network model, to identify tampered videos using DL, and indicates that the proposed model works effectively compared to existing deepfake methods.
The evolution of sophisticated generative artificial intelligence has led to the rapid development of very realistic manipulated images and videos, posing substantial risks for digital trust, cyber security, and multimedia authenticity. Advanced Deepfake generation technologies result in the creation of believable forg...
A novel method for video deepfake detection that assimilates the Pelican Optimization algorithm with a DL model jointly named as Pelican Attention Stacked Bidirectional Long-Short Term Memory (PAttSBiL), aimed at improving recognition accuracy and efficacy is presented.
The fast development of digital media technologies has greatly erased the line between actual and manipulated visual content, especially with the advent of deepfake videos. These are very realistic synthetic videos that are very difficult to verify identities, cybersecurity, and integrity in social media. In order to o...
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