  This paper presents a summary of the DFGC 2021 competition. 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 community.
