IJNRD Research Journal

WhatsApp
Click Here

WhatsApp editor@ijnrd.org
IJNRD
INTERNATIONAL JOURNAL OF NOVEL RESEARCH AND DEVELOPMENT
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2456-4184 | Impact factor: 8.76 | ESTD Year: 2016
Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 8.76 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(DOI)

Call For Paper

For Authors

Forms / Download

Published Issue Details

Editorial Board

Other IMP Links

Facts & Figure

Impact Factor : 8.76

Issue per Year : 12

Volume Published : 9

Issue Published : 96

Article Submitted :

Article Published :

Total Authors :

Total Reviewer :

Total Countries :

Indexing Partner

Join RMS/Earn 300

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License
Published Paper Details
Paper Title: DETECTION OF DEEP FAKE FORENSICS IN WRAPING ARTIFACT USING DEEPLEARNING TECHNIQUES
Authors Name: soorya s , Dr. N.pughazendi
Download E-Certificate: Download
Author Reg. ID:
IJNRD_193882
Published Paper Id: IJNRD2305116
Published In: Volume 8 Issue 5, May-2023
DOI:
Abstract: The demand for fake face picture detection increases as deepfake algorithms get more potent. Despite the development of numerous deepfake detection techniques, it is still challenging to identify all deepfake images using a single model. We offer a technique for classifying various deep fake picture types using three frequently generated deep fake traces: residual noise, warping anomalies, and blur effects. To locate pixel-wise residual noise traces, we employed a network designed for steganalysis. While capturing high-level features, we also take landmarks into consideration because they are the primary parts of the face where unusual deformations typically arise in deep-fake photographs. Last but not least, since the effect of a deep fake is comparable to that of blurring, we use attributes from various picture quality evaluation tools that can recognize blurring hints. The results demonstrate that each detection technique is reliable, and the proposed network consistently outperforms previous detection networks on datasets with various deepfake types.
Keywords: Deepfake forensics, image forensics, lingering noise, warping artifacts, and picture quality evaluation.
Cite Article: "DETECTION OF DEEP FAKE FORENSICS IN WRAPING ARTIFACT USING DEEPLEARNING TECHNIQUES", International Journal of Novel Research and Development (www.ijnrd.org), ISSN:2456-4184, Vol.8, Issue 5, page no.b95-b99, May-2023, Available :http://www.ijnrd.org/papers/IJNRD2305116.pdf
Downloads: 000118751
ISSN: 2456-4184 | IMPACT FACTOR: 8.76 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.76 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID:IJNRD2305116
Registration ID: 193882
Published In: Volume 8 Issue 5, May-2023
DOI (Digital Object Identifier):
Page No: b95-b99
Country: chennai, tamilnadu, India
Research Area: Computer Engineering 
Publisher : IJ Publication
Published Paper URL : https://www.ijnrd.org/viewpaperforall?paper=IJNRD2305116
Published Paper PDF: https://www.ijnrd.org/papers/IJNRD2305116
Share Article:
Share

Click Here to Download This Article

Article Preview
Click Here to Download This Article

Major Indexing from www.ijnrd.org
Semantic Scholar Microsaoft Academic ORCID Zenodo
Google Scholar ResearcherID Thomson Reuters Mendeley : reference manager Academia.edu
arXiv.org : cornell university library Research Gate CiteSeerX PUBLON
DRJI SSRN Scribd DocStoc

ISSN Details

ISSN: 2456-4184
Impact Factor: 8.76 and ISSN APPROVED
Journal Starting Year (ESTD) : 2016

DOI (A digital object identifier)


Providing A digital object identifier by DOI
How to Get DOI? DOI

Conference

Open Access License Policy

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Creative Commons License This material is Open Knowledge This material is Open Data This material is Open Content

Important Details

Social Media

Licence

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License

Join RMS/Earn 300

IJNRD