论文标题

露天眼:一个开放平台,用于研究人类绩效,以识别AI合成面孔

Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces

论文作者

Guo, Hui, Hu, Shu, Wang, Xin, Chang, Ming-Ching, Lyu, Siwei

论文摘要

AI合成的面孔在视觉上挑战与真实的面孔有关。它们已被用作虚假社交媒体帐户的个人资料图像,从而带来了高负面的社会影响。尽管在开发自动方法来检测AI合成面孔方面取得了进展,但没有开放的平台来研究AI合成面孔检测的人类性能。在这项工作中,我们开发了一个名为open-eye的在线平台,以研究AI合成面部检测的人类性能。我们在本文中描述了Open-Eye的设计和工作流程。

AI-synthesized faces are visually challenging to discern from real ones. They have been used as profile images for fake social media accounts, which leads to high negative social impacts. Although progress has been made in developing automatic methods to detect AI-synthesized faces, there is no open platform to study the human performance of AI-synthesized faces detection. In this work, we develop an online platform called Open-eye to study the human performance of AI-synthesized face detection. We describe the design and workflow of the Open-eye in this paper.

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