Results 91 to 100 of about 130,964 (204)
The source code and models are publicly available at https://github.com/chenboluo ...
Decheng Liu +5 more
openaire +2 more sources
Application of improved GAN-LSTM-based fake face detection technique in electronic data forensics
This study proposes a detection method based on an improved GAN-LSTM fusion model to address the challenges of insufficient feature extraction and poor robustness in face forgery detection during electronic data forensics.
Yang Lei
doaj +1 more source
Forgery-Aware Guided Spatial–Frequency Feature Fusion for Face Image Forgery Detection
The rapid development of deepfake technologies has led to the widespread proliferation of facial image forgeries, raising significant concerns over identity theft and the spread of misinformation. Although recent dual-domain detection approaches that integrate spatial and frequency features have achieved noticeable progress, they still suffer from ...
Zhenxiang He, Zhihao Liu, Ziqi Zhao
openaire +1 more source
Learning Natural Consistency Representation for Face Forgery Video Detection
Face Forgery videos have elicited critical social public concerns and various detectors have been proposed. However, fully-supervised detectors may lead to easily overfitting to specific forgery methods or videos, and existing self-supervised detectors are strict on auxiliary tasks, such as requiring audio or multi-modalities, leading to limited ...
Zhang, Daichi +5 more
openaire +2 more sources
Multi-feature fusion based face forgery detection with local and global characteristics. [PDF]
Ding Y, Bu F, Zhai H, Hou Z, Wang Y.
europepmc +1 more source
STFANet: A spatial and temporal feature aggregation network for fake face detection in videos. [PDF]
Yao G, Yang G, Liu X, Chen L.
europepmc +1 more source
Face forgery detection using conditional GAN
Face forgery in videos is an increasing threat due to an easy access to manipulation tools. This work propose a Deep Learning approach to generate a mask showing the region of a tampered face. A Conditional Generative Adversarial Network is used,a total of 16 features are extracted from the video and used as input of the network.
openaire +1 more source
Robust deepfake detector against deep image watermarking. [PDF]
Yu J, Liu X, Zan F, Peng Y.
europepmc +1 more source
CrossDF: improving cross-domain deepfake detection with deep information decomposition. [PDF]
Yang S +7 more
europepmc +1 more source
Detecting anti-forensic deepfakes with identity-aware multi-branch networks. [PDF]
Zhu M, Long J.
europepmc +1 more source

