AFMB-Net
A. Vinay,P. S. Khurana,T.B. Sudarshan,S.P. Natarajan,V. Nagesh,V. Lakshminarayanan,Niput Bhat +6 more
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TL;DR: This project aims to identify deepfakes successfully using machine learning along with Heart Rate Analysis because the heart rate identified by the model is unique to each individual and cannot be spoofed or imitated by a GAN and is thus susceptible to improving GAN technology.
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Abstract: With advances in deepfake generating technology, it is getting increasingly difficult to detect deepfakes. Deepfakes can be used for many malpractices such as blackmail, politics, social media, etc. These can lead to widespread misinformation and can be harmful to an individual or an institution’s reputation. It has become important to be able to identify deepfakes effectively, while there exist many machine learning techniques to identify them, these methods are not able to cope up with the rapidly improving GAN technology which is used to generate deepfakes. Our project aims to identify deepfakes successfully using machine learning along with Heart Rate Analysis. The heart rate identified by our model is unique to each individual and cannot be spoofed or imitated by a GAN and is thus susceptible to improving GAN technology. To solve the deepfake detection problem we employ various machine learning models along with heart rate analysis to detect deepfakes.
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Citations
Unmasking deepfakes: A systematic review of deepfake detection and generation techniques using artificial intelligence
Fakhar Abbas,Araz Taeihagh +1 more
TL;DR: This study explores automatic key detection and generation methods, frameworks, algorithms, and tools for identifying deepfakes, and how these approaches can be employed within different situations to counter the spread of deepfakes and the generation of disinformation and sheds a light on the potential of AI.
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Developing an Interferogram-Based Module with Machine Learning for Maintaining Leveling of Glass Substrates
TL;DR: In this article , a method that utilizes machine learning to maintain the parallelism of the resonant cavity in a Fabry-Perot interferometer designed specifically for glass substrates was proposed.
Exploring Deepfake Detection: Techniques, Datasets and Challenges
Preeti Rana,Sandhya Bansal +1 more
TL;DR: This paper reviews 84 articles on deepfake detection, categorizing techniques into four groups: deep learning, traditional ML, artifacts analysis, and biological signal-based methods, highlighting the superiority of deep learning models and future research directions.
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Artificial Intelligence and New Threat Vectors: Using Scenario Planning for Trend Forecasting
Ann Fitz-Gerald,Dmytro Chumachenko,Halyna Padalko,Vijay Ganesh +3 more
Abstract: ,
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