Now showing items 1-4 of 4

    • Deepfake detection using neural networks 

      Sakib, Sadman; Abid, Mir Tarid Al; Tiana, Nures Saba; Asha, Wajida Anwar; Huq, Syed Mahbubul (Brac University, 2021-09)
      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 ...
    • Detecting Deepfake images using deep convolutional neural network 

      Dhar, Arpita; Acharjee, Prima; Biswas, Likhan; Ahmed, Shemonti; Sultana, Abida (Brac University, 2021-09)
      In recent years, advancement in the realm of machine learning has introduced a feature known as Deepfake pictures, which allows users to substitute a genuine face with a fake one that seems real. As a result, distinguishing ...
    • Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet 

      Ishrak, Gazi Hasin; Mahmud, Zalish; Farabe, Md. Zami Al Zunaed; Tinni, Tahera Khanom (Brac University, 2022-01)
      The term ‘Deepfake’ comes from the deep learning technology. Deepfake technology can easily and smoothly stitch anyone into any digital media where they never took part in reality. The key components of deepfake are ...
    • A machine learning approach to detect DeepFake videos 

      Hassan, Md. Mahedi; Nawrin, Na sha (Brac University, 2021-06)
      DeepFake detection is important as the internet is a big part of our lives. DeepFake photos and videos can easily mislead us into thinking something that probably did not happen. It can also reduce trust in the media. ...