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

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

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

Computer Vision and Pattern Recognition 2022-05-24 v1

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

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.

Keywords

face recognition artificial intelligence human-computer interaction

Cite

@article{arxiv.2205.06680,
  title  = {Open-Eye: An Open Platform to Study Human Performance on Identifying AI-Synthesized Faces},
  author = {Hui Guo and Shu Hu and Xin Wang and Ming-Ching Chang and Siwei Lyu},
  journal= {arXiv preprint arXiv:2205.06680},
  year   = {2022}
}

Comments

Accepted by IEEE 5th International Conference on Multimedia Information Processing and Retrieval (MIPR), 2022. arXiv admin note: substantial text overlap with arXiv:2109.00162

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

Abstract

Keywords

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