A comprehensive overview of Deepfake: Generation, detection, datasets, and opportunities

When used maliciously, deepfake can pose detrimental implications to political and social forces includ-ing reducing public trust in institutions, damaging the reputation of prominent individuals, and influenc-ing public opinions. As there is currently no specific law to address deepfakes, thus deepfake detection, which is an action to discriminate pristine media from deepfake media, plays a vital role in identifying and thwarting deepfake. This paper provides readers with a comprehensive and easy-to-understand state-of-the-art related to deepfake generation and detection. Specifically, we provide a synthesized over-view and recent progress in deepfakes by categorizing our review into deepfake generation and detection. We underline publicly available deepfake generation tools and datasets for benchmarking. We also pro-vide research insights, discuss existing gaps, and present trends for future research to facilitate the devel-opment of deepfake research.(c) 2022 Elsevier B.V. All rights reserved.

Automated summary

When used maliciously, deepfake technology can have detrimental implications on politics and society. Due to a lack of specific laws addressing deepfakes, detection plays a vital role. This paper provides a comprehensive overview of deepfake generation and detection, as well as discusses trends for future research.