Advancing GAN Deepfake Detection: Mixed Datasets and Comprehensive Artifact Analysis
The rapid advancement of synthetic media, while beneficial, has also spawned GAN-generated deepfakes, which pose risks, including misinformation and digital fraud.
Tamer Say, Mustafa Alkan, Aynur Koçak
semanticscholar +1 more source
Deepfake Image Forensics for Privacy Protection and Authenticity Using Deep Learning
This research focuses on the detection of deepfake images and videos for forensic analysis using deep learning techniques. It highlights the importance of preserving privacy and authenticity in digital media.
Saud Sohail +5 more
semanticscholar +1 more source
Anomaly Detection of Deepfake Audio Based on Real Audio Using Generative Adversarial Network Model
Deepfake audio causes damage not only to individuals and companies, but also to nations; therefore, research on deepfake audio detection technology is crucial.
Daeun Song +3 more
doaj +1 more source
Deepfake technology has become a powerful tool in shaping media narratives and public perception, particularly in the realm of political discourse. This study analyzes the impact of deepfake videos on media agenda-setting and national security, using the
Ahmet Görgen, Can Saygıner
doaj +1 more source
Perceived opportunities and risks of using deepfake technology in grief treatment: a qualitative study among Dutch bereaved people and mental health care workers. [PDF]
van Oostrum JM, Akalin D, Lenferink L.
europepmc +1 more source
Deepfake perpetrator conversation for adults with sexual abuse-related posttraumatic stress disorder: intervention development and multiple baseline study protocol. [PDF]
Ter Heide JJ +10 more
europepmc +1 more source
Sensors-Driven Multimodal Deepfake Detection: A Cross-Attention Fusion Approach with Adaptive Modality Gating. [PDF]
Waseem SS, Shabbir N, Hassan SR, Lee K.
europepmc +1 more source
Robust deepfake video detection using spatio-temporal features and dynamic difference learning. [PDF]
AbdElfattah E +3 more
europepmc +1 more source
Spatiotemporal deep learning for real-time video-based deepfake detection using 3DCNN, 3DResNet, TCN, and VAE. [PDF]
Agrawal P +4 more
europepmc +1 more source

