Wang Liansheng, Zhou Lianyu, Yang Wenxian, Yu Rongshan
Department of Computer Science, School of Informatics, Xiamen University, Xiamen, China.
Aginome Scientific, Xiamen, China.
Patterns (N Y). 2022 May 13;3(5):100509. doi: 10.1016/j.patter.2022.100509.
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.
人们使用先进的人工智能，尤其是生成对抗网络（GAN），用于为发表目的而进行科学图像操纵的风险正在增加。我们通过使用GAN伪造几种不同类型的生物医学图像来证明这种可能性，并讨论在研究社区中检测和预防此类科学不端行为的可能方法。
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