AI-enabled image fraud in scientific publications

Destroying image integrity in scientific papers may result in serious consequences. Inappropriate duplication and fabrication of images are two common misconducts in this aspect. The rapid development of artificial-intelligence technology has brought to us promising image-generation models that can...

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Detalles Bibliográficos
Autores principales: Gu, Jinjin, Wang, Xinlei, Li, Chenang, Zhao, Junhua, Fu, Weijin, Liang, Gaoqi, Qiu, Jing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Perspective
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278510/
https://www.ncbi.nlm.nih.gov/pubmed/35845832
http://dx.doi.org/10.1016/j.patter.2022.100511

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9278510/
https://www.ncbi.nlm.nih.gov/pubmed/35845832
http://dx.doi.org/10.1016/j.patter.2022.100511

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