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    •   BracU IR
    • School of Data and Sciences (SDS)
    • Department of Computer Science and Engineering (CSE)
    • Thesis & Report, BSc (Computer Science and Engineering)
    • View Item
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    Deepfake detection using neural networks

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    16301082, 17101536, 18101229, 18101290, 21141043_CSE.pdf (1.889Mb)
    Date
    2021-09
    Publisher
    Brac University
    Author
    Sakib, Sadman
    Abid, Mir Tarid Al
    Tiana, Nures Saba
    Asha, Wajida Anwar
    Huq, Syed Mahbubul
    Metadata
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    URI
    http://hdl.handle.net/10361/15678
    Abstract
    Deepfake is a sort of arti cial intelligence that forge original image or video and create persuading images, audio and video hoaxes by utilizing two contending AI algorithms-the generator and discriminator that form a generative adversarial net- work (GAN). The term `Deepfake' started in 2017, when a mysterious Reddit user called himself "Deepfakes." The user "Deepfakes" supplanted genuine faces with celebrity faces. With the rapid advancement of modern technology, Deepfakes have become an emerging problem, as deepfakes can threaten cybersecurity, political elec- tions, companies, individual and corporate nances, reputations, and more. There- fore, this makes deepfake detection more and more urgent. Although, a lot of techniques has been invented to detect deepfake but not all of them works perfectly and accurately for all cases. Also, as more up to date deepfake creation strategies are grown, ine ectively generalizing methodologies should be continually refreshed to cover these new techniques. Our research focuses on the recent techniques that are used to create manipulated videos and detect them though ensembling di erent CNN models.
    Keywords
    Deepfake; Detect; Neural networks; Video; Images
     
    LC Subject Headings
    Artificial intelligence; Digital media--Editing; Information technology--Social aspects; Neural networks (Computer science)
     
    Description
    This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
     
    Cataloged from PDF version of thesis.
     
    Includes bibliographical references (pages 33-34).
    Department
    Department of Computer Science and Engineering, Brac University
    Collections
    • Thesis & Report, BSc (Computer Science and Engineering)

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