Deepfake noise investigation and detection-Reference-Cited by-同舟云学术

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Deepfake noise investigation and detection

Published:2022-07 Issue: Volume:42 Page:301395
ISSN:2666-2817
Container-title:Forensic Science International: Digital Investigation
language:en
Short-container-title:Forensic Science International: Digital Investigation

Author:

Wang Tianyi^ORCID,Liu Ming^ORCID,Cao Wei^ORCID,Chow Kam Pui^ORCID

Publisher

Elsevier BV

Subject

Law,Medical Laboratory Technology,Computer Science Applications,Information Systems,Pathology and Forensic Medicine

Reference44 articles.

1. Mesonet: a compact facial video forgery detection network;Afchar,2018

2. Video face manipulation detection through ensemble of cnns;Bonettini,2021

3. Signature verification using a ”siamese” time delay neural network;Bromley,1993

4. Deepfakes: how a pervert shook the world;Chawla;Int. J. Adv. Res. Develp.,2019

5. Xception: deep learning with depthwise separable convolutions;Chollet,2017

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1. Digital forensics for the socio-cyber world (DF-SCW): A novel framework for deepfake multimedia investigation on social media platforms;Egyptian Informatics Journal;2024-09

2. A dual descriptor combined with frequency domain reconstruction learning for face forgery detection in deepfake videos;Forensic Science International: Digital Investigation;2024-06

3. Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media;PeerJ Computer Science;2024-05-27

4. Deepfake technology amidst health emergencies: Discussing challenges, exploring opportunities, and charting strategic future paths (Preprint);2024-02-09

5. Deep Learning based Model for Deepfake Image Detection: An Analytical Approach;2023 3rd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA);2023-12-21

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