Deepfakes: A new threat to image fabrication in scientific publications?

There is an increasing risk of people using advanced artificial intelligence, particularly the generative adversarial network (GAN), for scientific image manipulation for the purpose of publications. We demonstrated this possibility by using GAN to fabricate several different types of biomedical ima...

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Detalles Bibliográficos
Autores principales: Wang, Liansheng, Zhou, Lianyu, Yang, Wenxian, Yu, Rongshan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Opinion
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122956/
https://www.ncbi.nlm.nih.gov/pubmed/35607625
http://dx.doi.org/10.1016/j.patter.2022.100509
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author Wang, Liansheng
Zhou, Lianyu
Yang, Wenxian
Yu, Rongshan
author_facet Wang, Liansheng
Zhou, Lianyu
Yang, Wenxian
Yu, Rongshan
author_sort Wang, Liansheng
collection PubMed
description There is an increasing risk of people using advanced artificial intelligence, particularly the generative adversarial network (GAN), for scientific image manipulation for the purpose of publications. We demonstrated this possibility by using GAN to fabricate several different types of biomedical images and discuss possible ways for the detection and prevention of such scientific misconducts in research communities.
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spelling pubmed-91229562022-05-22 Deepfakes: A new threat to image fabrication in scientific publications? Wang, Liansheng Zhou, Lianyu Yang, Wenxian Yu, Rongshan Patterns (N Y) Opinion There is an increasing risk of people using advanced artificial intelligence, particularly the generative adversarial network (GAN), for scientific image manipulation for the purpose of publications. We demonstrated this possibility by using GAN to fabricate several different types of biomedical images and discuss possible ways for the detection and prevention of such scientific misconducts in research communities. Elsevier 2022-05-13 /pmc/articles/PMC9122956/ /pubmed/35607625 http://dx.doi.org/10.1016/j.patter.2022.100509 Text en © 2022 The Author(s) https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Opinion
Wang, Liansheng
Zhou, Lianyu
Yang, Wenxian
Yu, Rongshan
Deepfakes: A new threat to image fabrication in scientific publications?
title Deepfakes: A new threat to image fabrication in scientific publications?
title_full Deepfakes: A new threat to image fabrication in scientific publications?
title_fullStr Deepfakes: A new threat to image fabrication in scientific publications?
title_full_unstemmed Deepfakes: A new threat to image fabrication in scientific publications?
title_short Deepfakes: A new threat to image fabrication in scientific publications?
title_sort deepfakes: a new threat to image fabrication in scientific publications?
topic Opinion
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9122956/
https://www.ncbi.nlm.nih.gov/pubmed/35607625
http://dx.doi.org/10.1016/j.patter.2022.100509
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AT yurongshan deepfakesanewthreattoimagefabricationinscientificpublications

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