Publisher
Springer International Publishing
Reference14 articles.
1. Rössler, A., et al.: FaceForensics++: learning to detect manipulated facial images. In:International Conference on Computer Vision (ICCV) (2019)
2. Algorithms for Intelligent Systems;S Burroughs,2021
3. Wodajo, D., Atnafu, S.: Deepfake video detection using convolutional vision transformer, 11 March 2021. https://arxiv.org/pdf/2102.11126.pdf
4. Dufour, N., Gully, A., Jigsaw: Contributing data to deepfake detection research. Google Blog. Google, 24 September 2019. https://ai.googleblog.com/2019/09/contributing-data-to-deepfake-detection.html
5. Mo, H., Chen, B., Luo, W.: Fake faces identification via convolutional neural network. In: Proceedings of the 6th ACM Workshop on Information Hiding and Multimedia Security, IH&MMSec 2018, pp. 43–47. Association for Computing Machinery, Innsbruck (2018)
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献