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

• URL: http://arxiv.org/abs/2205.06680v1
• Date: Fri, 13 May 2022 14:30:59 GMT
• Title: Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces
• Authors: Hui Guo, Shu Hu, Xin Wang, Ming-Ching Chang, Siwei Lyu
• Abstract summary: We develop an online platform called Open-eye to study the human performance of AI-synthesized faces detection. We describe the design and workflow of the Open-eye in this paper.
• Score: 51.56417104929796
• License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/
• Abstract: 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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