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Analysis of Score-Level Fusion Rules for Deepfake Detection [PDF]
Applied Sciences, 2022 Deepfake detection is of fundamental importance to preserve the reliability of multimedia communications. Modern deepfake detection systems are often specialized on one or more types of manipulation but are not able to generalize. On the other hand, when
Sara Concas +7 more
doaj +6 more sources
The Face Deepfake Detection Challenge. [PDF]
J Imaging, 2022 Multimedia data manipulation and forgery has never been easier than today, thanks to the power of Artificial Intelligence (AI). AI-generated fake content, commonly called Deepfakes, have been raising new issues and concerns, but also new challenges for the research community.
Guarnera L +19 more
europepmc +8 more sources
CrossDF: improving cross-domain deepfake detection with deep information decomposition [PDF]
Frontiers in Big DataDeepfake technology represents a serious risk to safety and public confidence. While current detection approaches perform well in identifying manipulations within datasets that utilize identical deepfake methods for both training and validation, they ...
Shanmin Yang +7 more
doaj +2 more sources
MCW: A Generalizable Deepfake Detection Method for Few-Shot Learning [PDF]
Sensors, 2023 With the development of deepfake technology, deepfake detection has received widespread attention. Although some deepfake forensics techniques have been proposed, they are still very difficult to implement in real-world scenarios.
Lei Guan +4 more
doaj +2 more sources
Deepfake video detection: challenges and opportunities [PDF]
Artificial Intelligence ReviewDeepfake videos are a growing social issue. These videos are manipulated by artificial intelligence (AI) techniques (especially deep learning), an emerging societal issue.
Feng Xia +2 more
exaly +3 more sources
Is this real? Susceptibility to deepfakes in machines and humans [PDF]
Cognitive ResearchDeepfakes are synthetic media created by deep-generative methods to fake a person’s audio-visual representation. Growing sophistication of deepfake technology poses significant challenges for both machine learning (ML) algorithms and humans. Here we used
Didem Pehlivanoglu +7 more
doaj +2 more sources
DeepFake Detection for Human Face Images and Videos: A Survey
IEEE Access, 2022 Techniques for creating and manipulating multimedia information have progressed to the point where they can now ensure a high degree of realism. DeepFake is a generative deep learning algorithm that creates or modifies face features in a superrealistic ...
Asad Malik +3 more
doaj +1 more source
Fighting Deepfakes Using Body Language Analysis
Forecasting, 2021 Recent improvements in deepfake creation have made deepfake videos more realistic. Moreover, open-source software has made deepfake creation more accessible, which reduces the barrier to entry for deepfake creation. This could pose a threat to the people’
Robail Yasrab, Wanqi Jiang, Adnan Riaz
doaj +1 more source
Detection Enhancement for Various Deepfake Types Based on Residual Noise and Manipulation Traces
IEEE Access, 2022 As deepfake techniques become more sophisticated, the demand for fake facial image detection continues to increase. Various deepfake detection techniques have been introduced but detecting all types of deepfake images with a single model remains ...
Jihyeon Kang +4 more
doaj +1 more source
Deepfake Generation and Detection: Case Study and Challenges
IEEE Access, 2023 In smart communities, social media allowed users easy access to multimedia content. With recent advancements in computer vision and natural language processing, machine learning (ML), and deep learning (DL) models have evolved.
Yogesh Patel +7 more
doaj +1 more source