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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: April 2024

Volume 9 | Issue 4

Impact factor: 8.15

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Paper Title: Deepfake Detection Using GAN
Authors Name: Dividharshana K , Deepika , Arul Karthikeyan , Hari Prasath M , Abhishek
Unique Id: IJSDR2305185
Published In: Volume 8 Issue 5, May-2023
Abstract: Nowadays, people faced an emerging problem of AI synthesized face swapping videos, widely known as the DeepFakes. These kinds of videos can be created to cause threats to privacy, fraudulence, and so on. Sometimes good quality DeepFake video recognition could be hard to distinguish with people's eyes. These can be used to manipulate public opinion during elections, commit fraud, and discredit or blackmail people. Therefore, there is a need for automated tools capable of detecting false multimedia content and avoiding the spread of dangerous false information. That's why researchers need to develop algorithms to detect them. One of the frequently studied deep learning techniques is GAN. These networks are commonly used to create deepfake videos but are not used to detect them. Here exploring a solution based on a GAN discriminator to detect deepfake videos. Train a GAN and extract the discriminator into a custom module for deepfake detection. Test different discriminator architectures using different data sets to see how discriminator performance varies with different settings and training methods.
Keywords: deep learning; neural networks, face swapping indicators, GAN-Generative Adversarial Networks, PCL- Pair-wise self-consistency,LSTM-learning,Long Short-Term Memory
Cite Article: "Deepfake Detection Using GAN", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.8, Issue 5, page no.1166 - 1169, May-2023, Available :http://www.ijsdr.org/papers/IJSDR2305185.pdf
Downloads: 000337070
Publication Details: Published Paper ID: IJSDR2305185
Registration ID:206396
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: 1166 - 1169
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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