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Deepfake Detection for Compressed Media
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/></div></noscript> <!-- /Yandex.Metrika counter --> <!-- Matomo --> <!-- End Matomo Code --> <title>Deepfake Detection for Compressed Media</title> <meta name="description" content="Deepfake Detection for Compressed Media"> <meta name="keywords" content="deepfake detection, CelebDF v1, convolutional neural network (CNN), xception model, data augmentation, media manipulation"> <meta name="viewport" content="width=device-width, initial-scale=1, minimum-scale=1, maximum-scale=1, user-scalable=no"> <meta charset="utf-8"> <link href="https://cdn.waset.org/favicon.ico" type="image/x-icon" rel="shortcut icon"> <link href="https://cdn.waset.org/static/plugins/bootstrap-4.2.1/css/bootstrap.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/plugins/fontawesome/css/all.min.css" rel="stylesheet"> <link href="https://cdn.waset.org/static/css/site.css?v=150220211555" rel="stylesheet"> </head> <body> <header> <div class="container"> <nav class="navbar navbar-expand-lg navbar-light"> 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87407</div> </div> </div> </div> <div class="card publication-listing mt-3 mb-3"> <h5 class="card-header" style="font-size:.9rem">Deepfake Detection for Compressed Media</h5> <div class="card-body"> <p class="card-text"><strong>Authors:</strong> <a href="https://publications.waset.org/abstracts/search?q=Sushil%20Kumar%20Gupta">Sushil Kumar Gupta</a>, <a href="https://publications.waset.org/abstracts/search?q=Atharva%20Joshi"> Atharva Joshi</a>, <a href="https://publications.waset.org/abstracts/search?q=Ayush%20Sonawale"> Ayush Sonawale</a>, <a href="https://publications.waset.org/abstracts/search?q=Sachin%20Naik"> Sachin Naik</a>, <a href="https://publications.waset.org/abstracts/search?q=Rajshree%20Khande"> Rajshree Khande</a> </p> <p class="card-text"><strong>Abstract:</strong></p> The usage of artificially created videos and audio by deep learning is a major problem of the current media landscape, as it pursues the goal of misinformation and distrust. In conclusion, the objective of this work targets generating a reliable deepfake detection model using deep learning that will help detect forged videos accurately. In this work, CelebDF v1, one of the largest deepfake benchmark datasets in the literature, is adopted to train and test the proposed models. The data includes authentic and synthetic videos of high quality, therefore allowing an assessment of the model鈥檚 performance against realistic distortions. <iframe src="https://publications.waset.org/abstracts/194487.pdf" style="width:100%; height:400px;" frameborder="0"></iframe> <p class="card-text"><strong>Keywords:</strong> <a href="https://publications.waset.org/abstracts/search?q=deepfake%20detection" title="deepfake detection">deepfake detection</a>, <a href="https://publications.waset.org/abstracts/search?q=CelebDF%20v1" title=" CelebDF v1"> CelebDF v1</a>, <a href="https://publications.waset.org/abstracts/search?q=convolutional%20neural%20network%20%28CNN%29" title=" convolutional neural network (CNN)"> convolutional neural network (CNN)</a>, <a href="https://publications.waset.org/abstracts/search?q=xception%20model" title=" xception model"> xception model</a>, <a href="https://publications.waset.org/abstracts/search?q=data%20augmentation" title=" data augmentation"> data augmentation</a>, <a href="https://publications.waset.org/abstracts/search?q=media%20manipulation" title=" media manipulation"> media manipulation</a> </p> <a href="https://publications.waset.org/abstracts/194487/deepfake-detection-for-compressed-media" class="btn btn-primary btn-sm">Procedia</a> <a href="https://publications.waset.org/abstracts/194487.pdf" target="_blank" class="btn btn-primary btn-sm">PDF</a> <span class="bg-info text-light px-1 py-1 float-right rounded"> Downloads <span class="badge badge-light">9</span> </span> </div> </div> </div> </main> <footer> <div id="infolinks" class="pt-3 pb-2"> <div class="container"> <div style="background-color:#f5f5f5;" class="p-3"> <div class="row"> <div class="col-md-2"> <ul class="list-unstyled"> About <li><a href="https://waset.org/page/support">About Us</a></li> <li><a href="https://waset.org/page/support#legal-information">Legal</a></li> <li><a target="_blank" rel="nofollow" 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