Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection-Reference-Cited by-同舟云学术

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Texture and artifact decomposition for improving generalization in deep-learning-based deepfake detection

Published:2024-07 Issue: Volume:133 Page:108450
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Gao Jie^ORCID,Micheletto Marco^ORCID,Orrù Giulia^ORCID,Concas Sara^ORCID,Feng Xiaoyi^ORCID,Marcialis Gian Luca^ORCID,Roli Fabio^ORCID

Publisher

Elsevier BV

Reference64 articles.

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

2. Face description with local binary patterns: Application to face recognition;Ahonen;IEEE Trans. Pattern Anal. Mach. Intell.,2006

3. Face classification by local texture analisys through CBIR and SURF points;Benavides;IEEE Lat. Am. Trans.,2016

4. Deep generative modelling: A comparative review of VAEs, GANs, normalizing flows, energy-based and autoregressive models;Bond-Taylor;IEEE Trans. Pattern Anal. Mach. Intell.,2022

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

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1. Enhancing Security in Real-Time Video Surveillance: A Deep Learning-Based Remedial Approach for Adversarial Attack Mitigation;IEEE Access;2024

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