👱‍♂️⚡️The DeepFakeFace dataset has become publicly available
DeepFakeFace(DFF) is a dataset that serves as the basis for training and testing algorithms designed to detect deepfakes. This dataset is created using various advanced diffusion models.
The authors claim that they analyzed the DFF dataset and proposed two evaluation methods to evaluate the effectiveness and adaptability of deepfake recognition tools.
The first method tests whether an algorithm trained on one type of fake image can recognize images generated by other methods.
The second method evaluates the algorithm's performance on non-ideal images, such as blurry, low-quality, or compressed images.
Given the varying results of these methods, the authors highlight the need for more advanced deepfake detectors.


🧐 HF: https://huggingface.co/datasets/OpenRL/DeepFakeFace

🖥 Github: https://github.com/OpenRL-Lab/DeepFakeFace

📕 Paper: https://arxiv.org/abs/2309.02218