DFGC 2021: A Deepfake Game Competition

摘要

This paper presents a summary of the DeepFake Game Competition (DFGC) 20211. DeepFake technology is developing fast, and realistic face-swaps are increasingly deceiving and hard to detect. At the same time, DeepFake detection methods are also improving. There is a two-party game between DeepFake creators and detectors. This competition provides a common platform for benchmarking the adversarial game between current state-of-the-art DeepFake creation and detection methods. In this paper, we present the organization, results and top solutions of this competition and also share our insights obtained during this event. We also release the DFGC-21 testing dataset collected from our participants to further benefit the research community2. © 2021 IEEE.

出版物
2021 IEEE International Joint Conference on Biometrics, IJCB 2021
彭勃
彭勃
副研究员
樊红兴
樊红兴
硕士

主要研究视频取证,图像视频处理,非接触式生理信号测量等内容

王伟
王伟
副研究员、硕导

主要从事多媒体内容安全、人工智能安全、多模态内容分析与理解等方面的研究工作。

董晶
董晶
研究员、硕导

主要从事多媒体内容安全、人工智能安全、多模态内容分析与理解等方面的研究工作。详情访问:http://cripac.ia.ac.cn/people/jdong

孙哲南
孙哲南
研究员、博导

主要从事生物特征识别、计算机视觉等方面的研究。