To counter this emerging threat, we have constructed an extremely large face swap video dataset to enable the training of detection models, and organized the accompanying DeepFake Detection Challenge (DFDC) Kaggle competition. Importantly, all recorded subjects agreed to participate in and have their ...
Similar to Deepfake Detection Challenge (DFDC) [2], the DeeperForensics Challenge 2020 uses the binary cross-entropy loss (BCELoss) to evaluate the performance of face forgery detection models: $$\begin{aligned} \mathrm {BCELoss}=-\frac{1}{N}\sum _{i=1}^N{\left[ y_i\cdot \log {\...
Finally, a set of specific metrics to evaluate the performance have been defined and two existing models for detecting deepfakes have been tested to provide a reference performance baseline. The DFDC dataset preview can be downloaded at: deepfakedetectionchallenge.ai 展开 ...
Facebook has announcedthe results of its first Deepfake Detection Challenge, an open competition to find algorithms that can spot AI-manipulated videos. The results, while promising, show there’s still lots of work to be done before automated systems can reliably spot deepfake content, with resea...
Questions surrounding the boundaries of creativity, intellectual property, and artistic expression come up when determining when and where to use deepfake technology. It can challenge the authenticity and integrity of art, entertainment, and journalism, as well as impact the livelihoods of artists and ...
The Deepfake detection task has become widely addressed, but unfortunately, approaches in the literature suffer from generalization issues. In this paper, the Face Deepfake Detection and Reconstruction Challenge is described. Two different tasks were proposed to the participants: (i) creating a Deepfake...
The Deepfake detection task has become widely addressed, but unfortunately, approaches in the literature suffer from generalization issues. In this paper, the Face Deepfake Detection and Reconstruction Challenge is described. Two different tasks were proposed to the participants: (i) creating a Deepfake...
Video Authenticator was created using a public dataset from Face Forensic++ and was tested on the DeepFake Detection Challenge Dataset, both leading models for training and testing deepfake detection technologies. We expect that methods for generating synthetic media will continue to grow in ...
FaceForensics++ (FF++),Celeb-DF-v2 (CDF),WildDeepfake (WDF), Deepfake Detection Challenge(DFDC), DeepFakeDetection (DFD),DeeperForenics-1.0 (DFR) B. Intra-Dataset Evaluation C. Generalization Evaluation 1) Cross-Dataset Evaluation: 2) Cross-Manipulation Evaluation: D. Robustness Evaluation ...
Dolhansky B, Bitton J, Pflaum B, Lu J, Howes R, Wang M, Ferrer CC (2020) The DeepFake detection challenge dataset. arXiv preprint arXiv:200607397 Jiang L, Li R, Wu W, Qian C, Loy CC (2020) Deeperforensics-1.0: a large-scale dataset for real-world face forgery detection. In: Pro...